LEEDS - Inria
DRAFT
This document contains few references in Video
Understanding (in 2007) organized by teams
REFERENCES 2007
1
DRAFT
I. LEEDS
1.
H. Dee and D. Hogg, Navigational Strategies and Surveillance, Sixth IEEE international workshop on visual surveillance (VS2006), Graz, Austria, 2006.
2.
A. G. Cohn, D. C. Hogg, B. Bennett, V. Devin, A. Galata, D. R. Magee, C.
Needham, and P. Santos, Cognitive Vision: Integrating Symbolic Qualitative
Representations with Computer Vision, in Cognitive Vision Systems: Sampling the Spectrum of Approaches, Lecture Notes in Computer Science, H. I.
Christensen and H.-H. Nagel, Eds., 3948 ed. Berlin Heidelberg: Springer, 2006, pp. 221-246.
3.
D. C. Hogg, A. G. Cohn, V. Devin, D. Magee, C. Needham, and P. Santos,
Learning about objects and activities, 24th Leeds Annual Statistical Research
(LASR) Workshop, Leeds, 2005.
4.
H. M. Dee and D. C. Hogg, On the feasibility of using a cognitive model to filter surveillance data, IEEE International Conference on Advanced Video and Signal-
Based Surveillance, Como, Italy, 2005.
5.
C. J. Needham, P. E. Santos, D. R. Magee, V. Devin, D. C. Hogg, and A. G.
Cohn, Protocols from Perceptual Observations, Artificial Intelligence, 167(1-2),
103-136, 2005.
6.
Hannah M. Dee, David C. Hogg. On The Feasibility Of Using A Cognitive Model
To Filter Surveillance Data. Advanced Video and Signal-Based Surveillance
(AVSS), Como, Italy, September 2005.
7.
A. Galata, N. Johnson, and D. Hogg. Learning variable length markov models of behaviour. Computer Vision and Image Understanding, 81(3):398–413, 2001.
II. HAMBURG
8.
B. Neumann, R. Möller. On Scene Interpretation with Description Logics. FBI-B-
257/04, Fachbereich Informatik, Universität Hamburg, 2004.
9.
B. Neumann, T. Weiss. Navigating through logic-based scene models for highlevel scene interpretations, 3rd International Conference on Computer Vision
Systems - ICVS 2003, Springer, 2003 , 212-222.
2
DRAFT
III. USC
10.
R. Nevatia, S. Hongeng, and F. Bremond, "Video-based event recognition: activity representation and probabilistic recognition methods", CVIU, Vol. 96,
No. 2, pp. 129-162, November 2004.
11.
T. Zhao and R. Nevatia, "Tracking multiple humans in crowded environment",
Computer Vision and Pattern Recognition, Vol. II: 406-413, 2004.
12.
R. Nevatia, J. Hobbs and B. Bolles, "An Ontology for Video Event
Representation", IEEE Workshop on Event Detection and Recognition, June
2004.
IV. Georgia.TECH
13.
Pinhanez, C. and A. Bobick, “Interval Scripts: a Programming Paradigm for
Interactive Environments and Agents” Pervasive and Ubiquitous Computing 7(1),
2003, 1-21.
14.
Wilson,A., and A.. Bobick, “Hidden Markov Models for Modeling and
Recognizing Gesture Under Variation”, Int’l J. of Pattern Recognition and
Artificial Intelligence 15(1): 123-160 (2001).
15.
Sun, J., J.M. Rehg, and A. Bobick, “Automatic Cascade Training with
Perturbation Bias,” Proceedings of IEEE Computer Vision and Pattern
Recognition (CVPR 2004), Washington, DC, June, 2004.
16.
Y. Shi, Y. Huang, D. Minnen, A. Bobick, and I. Essa, “Propagation Networks for recognition of partially ordered sequential action”, Proceedings of IEEE
Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, June,
2004.
17.
Y. Ivanov and A. Bobick. Recognition of visual activities and interactions by stochastic parsing. IEEE Trans. Patt. Anal. Mach. Intell., 22(8):852–872, 2000.
V. UCF
Books
18.
Video Registration. Mubarak Shah and Rakesh Kumar, Kluwer Academic
Publishers, 2003.
( Video Registration (The International Series in Video Computing) (Hardcover) by Mubarak Shah (Editor), Rakesh Kumar (Editor) "The increased availability of
3
DRAFT low-cost low- power, highly accurate video imagery has resulted in a rapid growth of the applications for this data..." ).
19.
Visual Event Detection. Niels Haering and Niels da Vitoria Lobo, July 2001.
20.
Analyzing Video Sequences of Multiple Humans. Jun Ohya, Akira Utsumi, and
Junjo Yamato, March 2002.
21.
Content-Based Image and Video Retrieval. Xian Sean Zhu and Thomas Huang,
August 2003.
22.
Video Mining Techniques. Editors: Azriel Rosenfeld, Daniel DeMenthon, and
David Doermann, July 2003.
23.
International Book Series on Video Computing, Kluwer Academic Publishers.
Series Editor: Mubarak Shah.
24.
Multimodal Video Characterization and Summarization. Michael A. Smith and
Takeo Kanade, October, 2004.
Book Chapters
25.
Abhijit Mahalanobis, Mubarak Shah, and Alan van Nevel, Information Processing across Distributed and Netted Systems for Security and Surveillance, Optical
Imaging, Photonics, Sensors, and Systems for Homeland Security edited by
Bahram Javidi, Springer, 2004.
26.
Zeeshan Rasheed and Mubarak Shah, Video Categorization using Semantics and
Semiotics, Video Mining Techniques, Editors: Azriel Rosenfeld, Daniel
DeMenthon, and David Doermann, Kluwer Academic Publishers, 2003.
27.
Mubarak Shah and Rakesh Kumar, Video Registration: A Perspective, Video
Registration, Kluwer Academic Publishers, 2003.
Journals
28.
Zeeshan Rasheed and Mubarak Shah, "Detection and Representation of Scenes in
Videos", IEEE Transactions on Multimedia, Vol. 7, No.6, December 2005.
29.
Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, , "Integrating Multiple
Levels of Zoom to Enable Activity Recognition", Computer Vision and Image
Understanding, submitted in August, 2004; received first review February 2005.
30.
Khurram Shafique, Asaad Hakeem and Mubarak Shah, An Object-based Video
Coding Framework for Video Sequences Obtained From Static Cameras, IEEE
Transactions on Circuit and Systems for Video Technology.
31.
Arslan Basharat, Asaad Hakeem, Mubarak Shah, and Abhijit Mahalanobis,
Automatic Target Detection and Recognition in Video Sensor Network with
Stationary and Mobile Nodes, OE Magazine, Member Publication of SPIE,
November 2005.
4
DRAFT
32.
Yaser Sheikh and Mubarak Shah, Bayesian Modelling of Dynamic Scenes for
Object Detection, IEEE Transactions on PAMI, October 2005.
33.
Mubarak Shah, "Understanding Human Behavior from Motion Imagery",
Machine Vision and Applications Journal, Vol. 14, pp. 210-214, September 2003.
34.
Douglas Ayers and Mubarak Shah, Monitoring Human Behavior from Video
Taken in an Office Environment, Image and Vision Computing, Vol. 19, Issue 12,
1, pp. 833-846, October 2001.
Conferences
35.
Yun Zhai, Mubarak Shah, Visual Attention Detection in Video Sequences Using
Spatiotemporal Cues, ACM MM 2006, Santa Barbara, CA, USA.
36.
Humera Noor, Shahid H. Mirza,Yaser Sheikh, Amit Jain, Mubarak Shah, Model
Generation for Video based Object Recognition, ACM MM 2006, Santa Barbara,
CA, USA.
VI. READING
37.
M Borg, D J Thirde, J M Ferryman, K D Baker, J Aguilera, M Kampel :
"Evaluation of Object Tracking for Aircraft Activity Surveillance", The Second
Joint IEEE International Workshop on Visual Surveillance and Performance
Evaluation of Tracking and Surveillance (VS-PETS 2005) in Beijing, China on the 15th to 16th of October (2005).
38.
J M Ferryman, S Maybank, A Worrall : "Visual Surveillance for Moving
Vehicles", International Journal of Computer Vision, 37(2), pp-187-197, June
(2000).
VII. KINGSTON
G.A. Jones
Journals
39.
P. Remagnino, G.A. Jones, N. Paragios, C.S. Regazzoni, Editors, "Video-Based
Surveillance Systems - Computer Vision and Distributed Processing" Kluwer
Academic Publishers, ISBN/ISSN 0-7923-7632-3 (2002).
40.
D. Greenhill, J.R. Renno, J. Orwell, G.A. Jones, "Learning the Semantic
Landscape: Embedding scene knowledge in object tracking" in 'Real Time
Imaging', Special Issue on Video Object Processing 11, pp. 186-203. (2005).
5
DRAFT
41.
P. Remagnino, A.I. Shihab, G.A. Jones, "Distributed Intelligence for Multi-
Camera Visual Surveillance" in 'Pattern Recognition', Special Issue on Agentbased Computer Vision 37(4) Elsevier, April, pp. 675-689. ISBN/ISSN 0031-
3203 (2004).
42.
J.R. Renno, P. Remagnino, G.A. Jones, "Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane" in 'Acta Automatica Sinica', Special Issue on Visual Surveillance of Dynamic Sc 29(3) pp. 381-392. (2003).
43.
P. Viola and M.J. Jones. Robust real-time face detection. Int. J. of Comp. Vision,
57(2):137–154, 2004.
Book Chapters
44.
J.R. Renno, P. Remagnino, G.A. Jones, Chapter "Learning the Fusion of Video
Data Streams: Automatic Calibration and Registration of Surveillance Cameras" in 'Multisensor Surveillance Systems - The Fusion Perspective', Edited by Gian
Luca Foresti, Carlo Regazzoni and Pramod Varshney, Kluwer Academic Press, pp. 61-80. (2003).
45.
D. Greenhill, P. Remagnino, G.A. Jones, Chapter "VIGILANT: Content-Querying of Video Surveillance Streams" in 'Video Based Surveillance Systems - Computer
Vision and Distributed Processing', Edited by P. Remagnino, G.A. Jones, N.
Paragios and C. Regazzoni, Kluwer Academic Publishers, pp. 193-204.
ISBN/ISSN 0-7923-7632-3 (2002).
46.
P. Remagnino, J. Orwell, D. Greenhill, G.A. Jones, L. Marchesotti, Chapter "An
Agent Society For Scene Interpretation" in 'Multimedia Video Based Surveillance
Systems: Requirements, Issues and Solutions', Edited by G. Foresti, P.Mahonen and C.S.Regazzoni, Kluwer Academic Publishers, pp. 108-117. ISBN/ISSN 0-
7923-7927-6 (2001).
47.
N. Lazarevic-McManus, J.R. Renno, D. Makris, G.A. Jones, "Designing
Evaluation Methodologies: the case of motion detection", Ninth IEEE
International Workshop on Performance Evaluation of Tracking and Surveillance,
(Invited Talk), June 18, New York, (2006).
Velastin
Book
48.
1.S.A. Velastin, P. Remagnino, Editors, "Intelligent Distributed Surveillance
Systems" The Institution of Electrical Engineers (IEE), ISBN/ISSN 0-86341-504-
0 (2005).
Journals
49.
2.P. Remagnino, N.D. Monekosso, S.A. Velastin, "Ambient Intelligence" in
'Journal of Japan Society for Fuzzy Theory and', 18(1) February, pp. 67. (2006).
6
DRAFT
50.
S.A. Velastin, BA Boghossian, MA Vicencio-Silva, "A motion-based image processing system for detecting potentially dangerous situations in underground railway stations" in 'Transportation Research Part C: Emerging Technologies',
14(2) Elsevier, April, pp. 96-113. (2006).
51.
S.A. Velastin, BA Boghossian, B Lo, J. Sun, MA Vicencio-Silva,
"PRISMATICA: Toward Ambient Intelligence in Public Transport
Environments" in 'IEEE Transactions on Systems, Man, and Cybernetics - Part A',
35(1) IEE, January, pp. 164-182. (2005).
52.
M. Valera Espina, S.A. Velastin, "Intelligent distributed surveillance systems: A
Review" in 'IEE Proceedings - Vision, Image and Signal Processing', 152(2) IEE,
April 2005, pp. 192-204. ISBN/ISSN 1350-245X (2005).
53.
L.M. Fuentes, S.A. Velastin, "Tracking-based event detection for CCTV systems" in 'Pattern Analysis and Applications', 7(4) Springer, ISBN/ISSN 1433-755X
(2005).
54.
A.C. Davies, S.A. Velastin, "Progress in computational intelligence to support
CCTV surveillance systems" in 'International Scientific Journal of Computing',
4(3) pp. 76-84. ISBN/ISSN 1727-6209 (2005).
55.
S.A. Velastin, B Lo, J. Sun, "A flexible communications protocol for a distributed surveillance system" in 'Journal of Network and Computer Applications', 27(4)
Elsevier, pp. 221-253. (2004).
Book Chapters
56.
P. Remagnino, H Hagras, N.D. Monekosso, S.A. Velastin, Chapter "Ambient
Intelligence a gentle introduction" in 'Ambient Intelligence a Novel Approach',
Edited by Remagnino, Paolo; Foresti, Gian Luca; Ellis, Tim, Springer,
ISBN/ISSN 0-387-22990-6 (2005).
VIII. PRIMA
Book Chapter
57.
J. L. Crowley, "Things that See: Context-Aware Multi-modal Interaction", in
"Cognitive Vision Systems", Edited by H. H. Nagel, Springer Verlag, March
2006.
Journals .
58.
James L. Crowley, "Situation Models for Observing Human Activity" ACM
Queue Magazine, May 2006.
59.
J. Coutaz, J. L. Crowley, S. Dobson, and D. Garlan, "Context is Key",
Communications of the ACM, Special issue on the Disappearing Computer, Vol
48, No 3, pp 49-53 March 2005.
7
DRAFT
60.
D. Hall, F. Pelisson, O. Riff, J. L. Crowley, "Brand Identification Using Gaussian
Derivative Histograms", Machine Vision and Applications, in Machine Vision and Applications, Vol 16, No. 1, pp 41-46, 2004.
Conferences
61.
O. Brdiczka, J. Maisonnasse, P. Reignier, J.L. Crowley, "Extracting Activities from Multimodal Observation", KES2006 10th International Conference on
Knowledge-Based Intelligent Information and Engineering Systems,
Bournemouth, UK., October 2006.
62.
J. L. Crowley, O. Brdiczka, and P. Reignier. "Learning Situation Models for
Understanding Activity", 5th International Conference on Development and
Learning 2006 (ICDL06), Bloomington, Il., USA, June 2006.
63.
S. Zaidenberg, O. Brdiczka, P. Reignier, and J.L. Crowley. "Learning context models for the recognition of scenarios". In 3rd IFIP Conference on Artificial
Intelligence Applications and Innovations (AIAI) 2006, Athens, Greece, June
2006.
64.
S. Zaidenberg, O. Brdiczka, P. Reignier, and J.L. Crowley. Learning context models for the recognition of scenarios. In 3rd IFIP Conference on Artificial
Intelligence Applications & Innovations (AIAI) 2006, Athens, Greece, June 2006.
65.
N. Gourier, J. Maisonnasse, D. Hall, J.L. Crowley "Head Pose Estimation on Low
Resolution Images In CLEAR '06", Classification of Events, Activities and
Relationships, South Hampton, UK, April 2006.
66.
O. Brdiczka, P. Reignier, J. L. Crowley, D. Vaufreydaz, and J. Maisonnasse,
"Deterministic and probabilistic implementation of context", In Proceedings of
IEEE International Conference on Pervasive Computing and Communications,
March 2006.
67.
D. Hall, R. Emonet, and J. L. Crowley, "An automatic approach for parameter selection in self-adaptive tracking." In International Conference on Computer
Vision Theory and Applications (VISAPP), Setubal, Portugal, Feb. 2006.
IX. EDINBOURG
68.
E. Andrade, S. Blunsden, R. Fisher. "Performance Analysis of Event Detection
Models in Crowded Scenes", Proc. Workshop on "Towards Robust Visual
Surveillance Techniques and Systems" at Visual Information Engineering 2006,
Bangalore, India, pp 427-432, Sept 2006.
69.
E. L. Andrade, S. Blunsden, R. B. Fisher. "Modelling Crowd Scenes for Event
Detection", Proc. Int. Conf. on Pat. Recog., pp ***-***, Hong Kong, Aug. 2006
(copyright IEEE).
8
DRAFT
70.
E. L. Andrade, S. Blunsden, R. B. Fisher. "Hidden Markov Models for Optical
Flow Analysis in Crowds", Proc. Int. Conf. on Pat. Recog., pp ***-***, Hong
Kong, Aug. 2006 (copyright IEEE).
71.
E. Andrade, S. Blunsden, R. Fisher. "Detection of Emergency Events in Crowded
Scenes", IEE Int. Symp. on Imaging for Crime Detection and Prevention (ICDP
2006), London, pp pp 528-533, 2006.
72.
S. Blunsden, R. Fisher. "Recognition of coordinated multi agent activities: the individual vs the group", Proc. Workshop on Computer Vision Based Analysis in
Sport Environments (CVBASE), pp 61-70, 2006.
73.
E. Andrade, S. Blunsden, R. Fisher. "Simulation of Crowd Problems for
Computer Vision", First International Workshop on Crowd Simulation (V-
CROWDS '05), pp 71-80, Lausanne, Nov 2005.
74.
D. Hall, J. Nascimento, P. Ribeiro, E. Andrade, P. Moreno, S. Pesnel, T. List, R.
Emonet, R. B. Fisher, J. Santos-Victor and J. L. Crowley, "Comparison of target detection algorithms using adaptive background models", Proc. 2nd Joint IEEE
Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, (VS-PETS), pp 113-120, Beijing, Oct 2005.
X. MIT (Pentland)
75.
Human Activity Recognition: Accuracy across Common Locations for Wearable
Sensors (October 2006). Daniel Olguin Olguin and Alex (Sandy) Pentland. 10th
International Symposium on Wearable Computing (Student Colloquium),
Montreux, Switzerland.
76.
Multi-sensor Data Fusion Using the Influence Model (April 2006). Wen Dong and Alex Pentland. To appear in: Body Sensor Networks Workshop, April 2006,
Boston, MA.
XI. MARYLAND (Larry Davis)
77.
Larry S Davis, David Harwood, Vinay D Shet. Vidmap: Video Monitoring Of
Activity With Prolog. Advanced Video and Signal-Based Surveillance (AVSS),
Como, Italy, September 2005.
(With Mittal)
Journals
9
DRAFT
78.
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a
Cluttered Scene. Anurag Mittal and Larry S. Davis. International Journal of
Computer Vision (IJCV). Vol. 51 (3), Feb/March 2003.
79.
Fast Illumination-invariant Background Subtraction Using Two Views: Error
Analysis, Sensor Placement and Applications. Ser-Nam Lim, Anurag Mittal,
Larry S. Davis and Nikos Paragios. In IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), San Diego, CA, June 2005.
80.
Motion-Based Background Subtraction using Adaptive Kernel Density
Estimation. Anurag Mittal and Nikos Paragios. In IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), Washington, DC, July 2004.
81.
Background Modeling and Subtraction of Dynamic Scenes. Antoine Monnet,
Anurag Mittal, Nikos Paragios and Visvanathan Ramesh. IEEE International
Conference on Computer Vision (ICCV), Nice, France, Oct 2003.
82.
Human Body pose Estimation by Shape Analysis of Silhouettes. Anurag Mittal,
Liang Zhao and Larry Davis. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Orlando, Florida, July 2003.
83.
Site Modeling for Wide Area Surveillance and Image Synthesis. Anurag Mittal and Dan Huttenlocher. In IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Hilton Head, South Carolina, June 2000. ps file
(With Gavrila)
84.
D. M. Gavrila and S. Munder. Multi-Cue Pedestrian Detection and Tracking from a Moving Vehicle. To appear in the International Journal of Computer Vision
(est: February-March 2007 issue), Springer Verlag, 2007.
85.
S. Munder and D. M. Gavrila. An Experimental Study on Pedestrian
Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, nr 11, pp. 1863-1868, 2006.
86.
W. van der Mark and D. M. Gavrila. Real-Time Dense Stereo for Intelligent
Vehicles. IEEE Transactions on Intelligent Transportation Systems, vol. 7, nr 1, pp.38-50, March 2006.
XII. MARYLAND (Chellapa)
87.
Recognition of Humans and Their Activities Using Video, Rama Chellappa, Amit
Roy Chowdhury and Shaohua Zhou, Morgan Claypool, 2005.
88.
Human Identification Based on Gait, Mark S. Nixon, Tieniu N. Tan, Rama
Chellappa. Springer 1st ed. December 2005.
10
DRAFT
89.
A. Kale, N. Cuntoor, B. Yegnanarayana, A.N. Rajagoplan and Rama Chellappa ,
“Gait-based Human Identification”, Using Appearance Matching in Optical and
Digital Techniques of Information Security, B. Javidi, (ed.), Springer 2005.
90.
S. Zhou and R. Chellappa. “ Face Recognition from Still Images and Videos”,
Handbook of Image and Video Processing, 2nd Edition, A. Bovik (Ed.),
Academic Press, 2005.
91.
N. Vaswani, A.K. Agrawal, Q. Zheng and R. Chellappa, “ Moving Object
Detection and Compression in IR sequences” , Computer Vision beyond the
Visible Spectrum, Eds B. Bhanu and I. Pavlidis, Springer, 2003.
92.
V. Parameswaran and Rama Chellappa , “Using 2D Project Invariance for Human
Action Recognition”, International Journal of Computer Vision., Volume 66,
Number 1, January 2006.
93.
Ashok Veeraraghavan, Amit K. RoyChowdhury and Rama Chellappa , “Matching
Shape Sequences in Video with Applications in Human Movement Analysis”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, Dec.
2005.
94.
N. Vaswani, A.K. Roy-Chowdhury, R. Chellappa, “Shape Activity”: A
Continuous-State HMM for Moving/Deforming Shapes With Application to
Abnormal Activity Detection” Image Processing, IEEE Transactions on, Image
Processing, Vol. 14, pp. 1603 - 1616, Oct. 2005.
95.
Vasu Parameswaren and Rama Chellappa , “Human Action-Recognition Using
Mutual Invariants”, Computer Vision and Image Understanding, Vol. 98, pp. 295-
325, Sep. 2005.
XIII. LIEGE (Piater)
96.
Sébastien Jodogne, Justus Piater, Task-Driven Discretization of the Joint Space of
Visual Percepts and Continuous Actions. European Conference on Machine
Learning, 2006.
97.
Tom Mathes, Justus Piater, Robust Non-Rigid Object Tracking Using Point
Distribution Manifolds. 28th Annual Symposium of the German Association for
Pattern Recognition (DAGM), 2006.
98.
Fabien Scalzo, Justus Piater, Unsupervised Learning of Dense Hierarchical
Appearance Representations. International Conference on Pattern Recognition,
2006.
99.
Wei Du, Justus Piater, Data Fusion by Belief Propagation for Multi-Camera
Tracking. The 9th International Conference on Information Fusion, 2006.
100.
Xavier Desurmont, Jean-Bernard Hayet, Jean-François Delaigle, Justus Piater,
Benoît Macq, TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video
Sequences With Ground Truth. Workshop on Computer Vision Based Analysis in
Sport Environments (CVBASE), pp. 92–100, 2006.
11
DRAFT
101.
Wei Du, Jean-Bernard Hayet, Justus Piater, Jacques Verly, Collaborative Multi-
Camera Tracking of Athletes in Team Sports. Workshop on Computer Vision
Based Analysis in Sport Environments (CVBASE), pp. 2–13, 2006.
102.
Wei Du, Justus Piater, Multi-view Tracking Using Sequential Belief
Propagation. Asian Conference on Computer Vision, pp. 684–693, 2006
(Hyderabad, India). Springer LNCS 3851. © Springer-Verlag.
103.
Sébastien Jodogne, Justus Piater, Learning, then Compacting Visual Policies.
7th European Workshop on Reinforcement Learning, 2005 (Naples, Italy).
XIV. QUEEN MARY (Gong Shaogang)
104.
T. Xiang and S. Gong. Beyond tracking: Modelling activity and understanding behaviour. International Journal of Computer Vision, Vol. 67, No. 1, pp. 21-51,
2006.
105.
T. Xiang and S. Gong. Optimal dynamic graphs for video content analysis. In
Proc. British Machine Vision Conference, Vol. 1, pp. 177-186, Edinburgh,
September 2006.
106.
Leung and S. Gong. Mean-shift tracking with random sampling. In Proc. British
Machine Vision Conference, Vol. 2, pp. 729-738, Edinburgh, September 2006.
107.
T. Xiang and S. Gong. Incremental visual behaviour modelling. In Proc. IEEE
Visual Surveillance Workshop, pp. 65-72, Graz, May 2006.
108.
J. Zhang and S. Gong. Beyond static detectors: A Bayesian approach to fusing long-term motion with appearance for robust people detection in highly cluttered scenes. In Proc. IEEE Visual Surveillance Workshop, pp. 121-128, Graz, May
2006.
109.
T. Xiang and S. Gong. Video behaviour profiling and abnormality detection without manual labelling. In Proc. IEEE International Conference on Computer
Vision, pp. 1238-1245, Beijing, October 2005.
110.
Shaogang Gong, Tao Xiang. Relevance Learning For Spectral Clustering With
Applications On Image Segmentation And Video Behaviour Profiling. Advanced
Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.
111.
Shaogang Gong, Hayley S Hung. Detecting And Quantifying Unusual
Interactions By Correlating Salient Motion. Advanced Video and Signal-Based
Surveillance (AVSS), Como, Italy, September 2005.
XV. QUEEN MARY (Cavallaro Andrea)
Journal papers and book chapters
12
DRAFT
112.
Perceptual semantics. A. Cavallaro, S. Winkler. In Digital Multimedia
Perception and Design (Editors: G. Ghinea and S. Y. Chen), Idea Group
Publishing, ISBN 159140861-X, April 2006.
113.
Semantic video analysis for adaptive content delivery and automatic description. A. Cavallaro, O.Steiger, T. Ebrahimi. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, Issue 10, October 2005, pp.1200-
1209.
114.
Shadow-aware object-based video processing. Cavallaro, E. Salvador, T.
Ebrahimi. IEE Vision, Image and Signal Processing, Vol. 152, Issue 4, August
2005, pp. 14- 22.
115.
Tracking video objects in cluttered background. Cavallaro, O.Steiger, T.
Ebrahimi. IEEE Transactions on Circuits and Systems for Video Technology,
15(4), April 2005, pp.575- 584.
116.
Interaction between high-level and low-level image analysis for semantic video object extraction. A. Cavallaro, T. Ebrahimi
117.
Journal on Applied Signal Processing, Special Issue on: Object-based and semantic image and video analysis, vol. 2004, n. 6, June 2004, pp. 786-797
118.
Cast shadow segmentation using invariant colour features. E. Salvador, A.
Cavallaro, T. Ebrahimi. Computer Vision and Image Understanding, vol. 95, n.2,
August 2004, pp. 238-259.
119.
Image Analysis for Video Surveillance based on Spatial Regularization of a
Statistical Change Detection. F. Ziliani and A. Cavallaro. Real-Time Imaging,
Special Issue on: Video Processing and Communications in Real-Time Video-
Based Surveillance Systems, Vol. 7, No. 5, October 2001, pp. 389-399.
120.
Automatic and Interactive Segmentation of Video Sequences. R. Castagno, A.
Cavallaro, F. Ziliani, T. Ebrahimi. In Non Linear Model-based Image/Video
Processing and Analysis, I.Pitas, C. Kotropoulos (Eds.), WILEY & SONS, chapter 6, April 2001.
121.
Evaluation of multi-sensor surveillance event detectors. F. Ziliani and A.
Cavallaro. IET Conference on Imaging for Crime Detection and Prevention
(ICDP 2006), London, UK, 13-14 June, 2006.
122.
Surveillance scene change detection. Cavallaro and L-Q. Xu. IEEE International
Workshop on Visual Surveillance (VS2006), in conjunction with ECCV, Graz,
Austria, 7-13 May, 2006.
123.
Multi-feature graph-based object tracking. A. M. Taj, E. Maggio, A. Cavallaro.
Proc. of Classification of Events, Activities and Relationships (CLEAR)
Workshop, Springer LNCS 4122, Southampton, UK, 6-7 April, 2006.
124.
Event detection in underground stations using multiple heterogeneous surveillance cameras. A. Cavallaro. Proc. of International Symposium on Visual
Computing, Intelligent Vehicles and Autonomous Navigation, Lake Tahoe,
Nevada, 5-7 December 2005.
13
DRAFT
125.
Performance evaluation of event detection solutions: the CREDS experience. F.
Ziliani, S. Velastin, F. Porikli, L. Marcenaro, T. Kelliher, A. Cavallaro, P.
Bruneaut. Proc. of IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2005), Como (I), 15-16 September 2005.
XVI. SUSSEX (Hilary Buxton)
126.
Kingsley Sage and Hilary Buxton (2004) "Joint spatial and temporal structure learning for task based control" International Conference on Pattern Recognition click here.
127.
Hilary Buxton (2002) "Learning and understanding dynamic scene activity"
ECCV Generative Model Based Vision Workshop , Copenhagen.
XVII. MODEM (Cucchiara Rita)
128.
R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "A Distributed Domotic
Surveillance System" in Intelligent Distributed Video Surveillance Systems,
Chapter 4, IEE Press, pp. 91-117, 2006 CB Human Behaviour and Domotics.
129.
R. Cucchiara, C. Grana, G. Neri, M. Piccardi, A. Prati, "The Sakbot system for moving object detection and tracking" in Video-based Surveillance Systems:
Computer Vision and Distributed Processing (Part II - Detection and Tracking),
Kluwer Academic Publishers (selected by Proceedings of 2nd European
Workshop on Advanced Video-Based Surveillance Systems, Sept. 2001, Kingston upon Thames, UK, pp. 159-171), pp. 145-158, 2001 CB Motion Analysis.
130.
R. Cucchiara, J. D. Becker, M. Cardaci, M. Savini, B. Zavidovique,
"Behavioural Models" in Human and Machine Perception: Information Fusion, edited by V. Cantoni, et al. Plenum Press, New York, 1997.
131.
M. Bertini, R. Cucchiara, A. Del Bimbo, A. Prati, "Semantic Adaptation of
Sports Video with User-centred Performance Analysis" in IEEE Transactions on
Multimedia, vol. 8, n. 3, pp. 433-443, 2006 Semantic Transcoding.
132.
R. Cucchiara, A. Prati, R. Vezzani, L. Benini, E. Farella, P. Zappi, "An
Integrated Multi-Modal Sensor Network for Video Surveillance" in press on
Journal of Ubiquitous Computing and Intelligence (JUCI), 2006.
133.
R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "A computer vision system for inhouse video surveillance" in IEE Proceedings - Vision, Image and Signal
Processing, vol. 152, n. 2, IEE Press, ISSN 1350-2395, pp. 242-249, 2005.
134.
R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "Probabilistic Posture
Classification for Human Behaviour Analysis" in IEEE Transactions on Systems,
14
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Man, and Cybernetics, Part A: Systems and Humans, vol. 35, n. 1, pp. 42-54,
2005.
135.
R. Vezzani, R. Cucchiara, A. Malizia, L. Cinque, "3-D Virtual Environments on
Mobile Devices for Remote Surveillance" in press on IEEE International
Conference on Advanced Video and Signal-Based Surveillance (AVSS 2006),
Sydney, Australia, Nov. 22-24, 2006.
136.
R. Cucchiara, A. Prati, R. Vezzani, "Making the home safer and more secure through visual surveillance" in Proceedings of Symposium on “Automatic detection of abnormal human behaviour using video processing” of Measuring
Behaviour, Wageningen, The Netherlands, 2005.
137.
R. Cucchiara, R. Vezzani, "Assessing Temporal Coherence for Posture
Classification with Large Occlusions" in Proceedings of IEEE Computer Society
Workshop on Motion and Video Computing, Breckenridge, USA, Jan. 4-7, 2005.
138.
R. Cucchiara, C. Grana, A. Prati, G. Tardini, R. Vezzani, "Using computer vision techniques for dangerous situation detection in domotics applications" in
Proceedings of IEE Intelligent Distributed Surveillance Systems (IDSS-04),
London, UK, pp. 1-5, feb. 23, 2004.
139.
R. Cucchiara, A. Prati, R. Vezzani, "Domotics for disability: smart surveillance and smart video server" in 8th Conference of the Italian Association of Artificial
Intelligence - Workshop on "Ambient Intelligence", Pisa, Italy, pp. 46-57, Sep 23-
26, 2003.
140.
L. Panini, R. Cucchiara, "A machine learning approach for human posture detection in domotics applications" in Proceedings of International Conference on
Image Analysis and Processing (ICIAP 2003), Mantova, Italy, pp. 103-108, Sep.
17-19, 2003.
XVIII. Foresti Gian Luca
Books
141.
G.L. Foresti, C.S. Regazzoni and P. Varnshey, Multisensor Surveillance
Systems: The Fusion Perspective, Kluwer Academic Publishers, May 2003.
142.
G.L. Foresti, P. Mahonen and C.S. Regazzoni, Multimedia Video-Based
Surveillance Systems: from User Requirements to Research Solutions, Kluwer
Academic Publishers, September 2000.
Journals
143.
G.L. Foresti, L. Marcenaro and C.S. Regazzoni, “Automatic Detection and
Indexing of Video-Event Shots for Surveillance Applications”, IEEE Transactions on Multimedia, June 2002, pp. 1419-1440.
15
DRAFT
144.
G.L. Foresti and C.S. Regazzoni, "Multisensor Data Fusion for Driving
Autonomous Vehicles in Risky Environments", IEEE Transactions on Vehicular
Technology, Vol. 51, No. 5, September 2002, pp. 1165 -1185.
145.
G.L. Foresti and C. Micheloni, "A Robust Feature Tracker for Active
Surveillance of Outdoors Scenes", Electronic Letters on Computer Vision and
Image Analysis, Vol. 1. No. 1, 2003, pp. 21-34.
Book Chapters
146.
G.L. Foresti, G. Giacinto and F. Roli, “Detecting Dangerous Behaviors of
Mobile Objects in Parking Areas”, J. Graeme, C.S. Regazzoni and P. Remagnino
(eds.), Kluwer Academic Publishers, 2002 (in press).
147.
G.L. Foresti, “Advanced Neural-based Systems for 3D Scene Undertsanding”, in Intelligent Systems: Techniques and Applications, C.T. Leondes (ed.), CRC
Press LLC, 2003, pp. 237-268 (in press).
Conferences
148.
L. Snidaro, R. Niu, P.K. Varshney and G.L. Foresti, "Automatic Camera
Selection and Fusion for Outdoor Surveillance under Changing Weather
Conditions", IEEE Conference on Advanced Video and Signal Based
Surveillance, Miami Beach, Florida, July 21-22, 2003, pp. 364-369.
149.
C. Micheloni and G.L. Foresti, "Fast Good feature Selection for Wide Area
Monitoring", IEEE Conference on Advanced Video and Signal Based
Surveillance, Miami Beach, Florida, July 21-22, 2003, pp. 271-276.
150.
G.L. Foresti, C. Micheloni, L. Snidaro and C. Marchiol, "Face Detection for
Visual Surveillance”, 12th International Conference on Image Analysis and
Processing, ICIAP03, Mantova, Italy, September , 2003, pp. 115-119.
151.
Gian Luca Foresti, Claudio Piciarelli, Lauro Snidaro. Trajectory Clustering And
Its Applications For Video Surveillance. Advanced Video and Signal-Based
Surveillance (AVSS), Como, Italy, September 2005.
XIX. MULTITEL (Delaigle)
152.
Avier Desurmont, Isabel Ponte, Jerome Meessen and Jean-Francois Delaigle,
"Nonintrusive viewpoint tracking for 3D for perception in smart video conference", PIE Proc. of Three-Dimensional Image Capture and Applications
VI, San Jose, CA USA, January 2006.
153.
X. Desurmont, R. Sebbe, F. Martin, C. Machy and J-F. Delaigle, "Performance
Evaluation of Frequent Events Detection Systems", Ninth IEEE International
16
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Workshop on Performance Evaluation of Tracking and Surveillance, New York,
18th June 2006.
154.
Enficiaud, B. Lienard, N. Allezard, R. Sebbe, S. Beucher, X. Desurmont, P.
Sayd and J-F. Delaigle, "Clovis - A generic framework for general purpose visual surveillance applications", IEEE International Workshop on Visual Surveillance
(VS), 2006.
XX. TAIWAN
155.
Ming-Hua Tsai, Chieh-Ling Huang, Pau-Choo Chung, Yen-Kuang Yang, Yu-
Chia Hsu, and Shu-Ling Hsiao, A Psychiatric Patients Tracking System, Circuit and Systems, 2006. ISCAS 2006, Proceedings. 2006 IEEE International
Symposium on, 21-24 May 2006.
156.
Chieh-Ling Huang, E-Liang Chen, and Pau-Choo Chung, "Fall Detection using
Modular Neural Networks and Back-projected Optical Flow", The 12th
International Conference on Neural Information Processing (ICONIP 2005)
Proceedings, Oct 30 - Nov 2 2005.
157.
Chieh-Ling Huang, E-Liang Chen, and Pau-Choo Chung, "Using Modular
Neural Networks for Falling Detection", The 10th Conference on Artificial
Intelligence and Application (TAAI2005).
158.
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai, “A Bayesian Approach to Video
Object Segmentation via Merging 3D Watershed Volumes,” Proceedings of
International Conference on Pattern Recognition (ICPR02), Quebec, Canada, Vol.
3, August 2002.
XXI. PETS 2006
159.
PETS vs. VACE Evaluation Programs: A Comparative Study. V. Manohar, M.
Boonstra, V. Korzhova, P. Soundararajan, D. Goldgof, R. Kasturi, S. Prasad, H.
Raju, R. Bowers and J. Garofolo. Computer Science and Engineering, University of South Florida, FL USA; Video Mining Inc., State College, PA USA; National
Institute of Standards and Technology, Gaithersburg, MD USA.
160.
Performance Evaluation of Object Detection and Tracking Systems. F. Bashir and F. Porikli, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA.
161.
Performance Evaluation of Frequent Events Detection Systems. X. Desurmont,
R. Sebbe, F. Martin, C. Machy and J-F. Delaigle, Research Centre in
Telecommunications, Signal and Image Processing, Multitel A.S.B.L., Mons,
Belgium; Faculté Polytechniques de Mons, Mons, Belgium.
17
DRAFT
162.
Designing Evaluation Methodologies: The Case of Motion Detection. N.
Lazarevic-McManus, J. Renno, D. Makris and G. A. Jones, Digital Imaging
Research Centre, Kingston University, London, UK.
163.
Context-Controlled Adaptive Background Subtraction. L. Li, R. Luo, W. Huang and H-L. Eng, Institute for Infocomm Research, Singapore.
164.
Autonomous Learning of a Robust Background Model for Change Detection. H.
Grabner, P. M. Roth, M. Grabner and H. Bischof, Institute for Computer Graphics and Vision, Graz University of Technology, Austria.
165.
An Overview of the PETS 2006 Dataset. D. Thirde, L. Li and J. Ferryman,
Computational Vision Group, The University of Reading, UK.
166.
Left-Luggage Detection using Homographies and Simple Heuristics. E.
Auvinet, E. Grossmann, C. Rougier, M. Dahmane and J. Meunier, Department of
Computer Science and Operations Research, University of Montreal, Canada.
167.
Automatic Left Luggage Detection and Tracking using Multi-Camera UKF. J.
Martínez-del-Rincón, J. E. Herrero-Jaraba, J. R. Gómez and C. Orrite-Uruñuela,
Computer Vision Laboratory, Aragon Institute for Engineering Research,
University of Zaragoza, Spain.
168.
Multi-View Detection and Tracking of Travelers and Luggage in Mass Transit
Environments. N. Krahnstoever, P. Tu, T. Sebastian, A. Perera and R. Collins,
General Electric Global Research, Niskayuna, NY USA.
169.
Detecting Abandoned Luggage Items in a Public Space. K. Smith, P. Quelhas and D. Gatica-Perez, IDIAP Research Institute and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
170.
Left Luggage Detection using Bayesian Inference. F. Lv, X. Song, B. Wu, V. K.
Singh and R. Nevatia, Institute for Robotics and Intelligent Systems, University of
Southern California, CA USA.
171.
Evaluation of an IVS System for Abandoned Object Detection on PETS 2006
Datasets. L. Li, R. Luo, R. Ma, W. Huang and K. Leman, Institute for Infocomm
Research, Singapore.
172.
Abandoned Object Detection in Crowded Places. S. Guler and M. K. Farrow, intuVision, Inc., Woburn, MA USA.
XXII. EPFL (Pascal Fua)
173.
R. Urtasun, D. Fleet and P. Fua, 3D People Tracking with Gaussian Process
Dynamical Models, Conference on Computer Vision and Pattern Recognition,
June 2006.
174.
J. Berclaz, F. Fleuret, and P. Fua, Robust People Tracking with Global
Trajectory Optimization, Conference on Computer Vision and Pattern
Recognition, 2006.
18
DRAFT
175.
M. Ozuysal, V. Lepetit, F. Fleuret and P. Fua, Feature Harvesting for Trackingby-Detection, European Conference on Computer Vision, Vol. 3953, pp. 592--
605, 2006.
176.
M. Dimitrijevic, V. Lepetit and P. Fua, Human Body Pose Recognition Using
Spatio-Temporal Templates, ICCV workshop on Modeling People and Human
Interaction, Beijing, China, October 2005.
177.
R. Plankers and P. Fua. Tracking and modeling people in video sequences.
Computer Vision and Image Understanding, 81(3):285–302, March 2001.
XXIII. IDIAP (Gatica)
178.
Tracking People in Meetings with Particles / Gatica-Perez, D. et al. – In Proc.
Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), invited paper (2005).
179.
Semi-supervised Meeting Event Recognition with Adapted HMMs / Zhang,
Dong; Gatica-Perez, Daniel; Bengio, Samy – In Pro. IEEE ICME (2005).
180.
Multimodal Integration for Meeting Group Action Segmentation and
Recognition / Al-Hames, Marc et al. – In MLMI (2005).
181.
Semi-supervised Adapted HMMs for Unusual Event Detection / Zhang, Dong;
Gatica-Perez, Daniel; Bengio, Samy; McCowan, Iain – In Pro. IEEE CVPR
(2005).
XXIV. ENSMP - CMM (Serge Beucher)
182.
Gomila Cristina, Meyer Fernand. Tracking objects by graph matching of image partition sequences. in 3rd IAPR-TC15 Workshop on Graph-Based
Representations in Pattern Recognition, GbR 2001, Ischia, Italy, May 23-25,
2001, pp. 1-11. [D-39/01/MM].
183.
Gomila Cristina, Meyer Fernand. Automatic video object generation tool : segmentation and tracking of persons in real time. Annales des
Télécommunications, 2000. 55(3-4): p. 172-183. [D-32/00/MM].
XXV. IRISA (Bouthemy & Laptev)
184.
A. Kokaram, N. Rea, R. Dahyot, M, Tekalp, P. Bouthemy, P. Gros, I. Sezan.
Browsing sports video (Trends in sports-related indexing and retrieval work).
IEEE Signal Processing Magazine, 23(2):47-58, Mars 2006.
19
DRAFT
185.
M. Gelgon, P. Bouthemy, J.-P. Le Cadre. Recovery of the trajectories of multiple moving objects in an image sequence with a PMHT approach. Image and
Vision Computing Journal, 23(1):19-31, 2005.
186.
"Local Velocity-Adapted Motion Events for Spatio-Temporal Recognition"
(2007). I. Laptev, B. Caputo and T. Lindeberg; in Computer Vision and Image
Understanding.
187.
"Velocity-adaptation of spatio-temporal receptive fields for direct recognition of activities: An experimental study" (2004). I. Laptev and T. Lindeberg; in Image and Vision Computing 22:105-116.
188.
"Local Spatio-Temporal Image Features for Motion Interpretation" (2004), Ivan
Laptev; PhD Thesis, defended on June 11, 2004 at Computational Vision and
Active Perception Laboratory (CVAP), NADA, KTH, Stockholm. ISBN 91-7283-
793-4.
189.
"Improvements of Object Detection Using Boosted Histograms" (2006), I.
Laptev; in Proc. BMVC'06, Edinburgh, UK, pp. III:949-958.
XXVI. INRIA-ALPES
190.
A Local Basis Representation for Estimating Human Pose from Cluttered
Images. Ankur Agarwal, Bill Triggs. Asian Conference on Computer Vision -
January 2006.
191.
Finding People in Images and Videos. Navneet Dalal. PhD thesis from Institut
National Polytechnique de Grenoble - July 2006.
192.
Human Detection using Oriented Histograms of Flow and Appearance. Navneet
Dalal, Bill Triggs, Cordelia Schmid. European Conference on Computer Vision –
2006.
193.
Latent Mixture Vocabularies for Object Categorization. Diane Larlus, Frederic
Jurie. British Machine Vision Conference – 2006.
194.
Bayesian Occupancy Filtering for Multitarget Tracking: an Automotive
Application. C. Coué, C. Pradalier, C. Laugier, Th. Fraichard, P. Bessière Int.
Journal of Robotics Research, Volume 25, Number 1, page 19--30 - January 2006.
XXVII. Politecnico di Milano, Italy
195.
Marco Marcon, Massimiliano Pierobon, Augusto Sarti, Stefano Tubaro.
Clustering Of Human Actions Using Invariant Body Shape Descriptor And
Dynamic Time Warping. Advanced Video and Signal-Based Surveillance
(AVSS), Como, Italy, September 2005.
20
DRAFT
XXVIII. Other LABs
196.
M. Brand and V. Kettnaker. Discovery and segmentation of activities in video.
IEEE Trans. Patt. Anal. Mach. Intell., 22(8), 2000.
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