第 6 届全国模式识别学术会议
6th Chinese Conference on Pattern Recognition
Nov. 17-19, 2014
Changsha, China
Program Guide
Message from Chairs
Welcome to the 2014 Chinese Conference on Pattern Recognition (CCPR 2014) in Changsha! The
CCPR 2014 is the sixth in the series, following the CCPR 2007 (Beijing), CCPR 2008 (Beijing), CCPR
2009 (Nanjing), CCPR 2010 (Chongqing) and CCPR 2012 (Beijing). From 2012, the CCPR is held
every other year, to be alternated with the Asian Conference on Pattern Recognition (ACPR), which
was started in 2011.
In recent years, pattern recognition has increasingly become an enabling technology for many
important and often mission-critical applications such as intelligent machines, data mining, business
intelligence, Internet content search, public security monitoring, etc. The aim of the CCPR is to provide
a forum for scientific exchanges and exhibitions for pattern recognition researchers in China. The
current edition of CCPR was started in 2007 but can be dated back to the former editions in 1980s. In
China, pattern recognition research was commenced in the beginning of the 1970s. To cater for this
fascinating area, the Chinese Association of Automation (CAA) formed a technical committee on
Pattern Recognition and Machine Intelligence (PRMI) in 1979. This committee became an official
member of the IAPR in 1981. In 1980, the First National Conference on Pattern Recognition and
Machine Intelligence was organized, and the series of this conference was held seven times until 1989.
As done in the previous CCPR, the CCPR 2014 receives regular submissions and as well, invites
internationally renowned researchers to give keynote speeches. The Proceedings of the CCPR 2014 is
published by Springer in the Communications in Computer and Information Science (CCIS) series.
Until the deadline June 10, we received 215 full submissions. Each submission was reviewed by three
reviewers selected from the program committee and other qualified researchers. Based on the reviewers’
reports, 111 papers were accepted for presentation at the conference, which cover diverse fields, e.g.,
pattern recognition theory and its applications, feature extraction and classification, image and video
processing, biometric and action recognition, biomedical image analysis, and document and speech
analysis.
We are grateful to the keynote speakers, Prof. Bo Zhang (Tsinghua University), Prof. Jon Atli
Benediktsson (University of Iceland), Chris H.Q. Ding (University of Texas at Arlington), Prof. Zhihua
Zhou (Nanjing University). They will give speeches titled “I and artificial Intelligent”, “Image
Classification based on Mathematical Morphology”, “Sparse Coding and Low-rank Matrix Models for
Data Representation and Feature Selection”, “From AdaBoost to Large Margin Distribute Learning
Machine”. Thanks are due to the authors of all submitted papers, the program committee members and
the reviewers, and the staff of the organizing committee. Without their contributions, this conference
would not be a success. We are also grateful to Springer for publishing the proceedings, and especially
to Ms Celine (Lanlan) Chang of Springer Asia for her efforts and patience in collecting and editing the
proceedings.
We welcome you to take part in this important academic event and hope you find CCPR 2014 an
enjoyable and fruitful conference.
Yaonan Wang (General Chair)
Cheng-Lin Liu, Shutao Li (Program Chairs)
Xiaogang Zhang, Changyan Xiao, Guocai Liu, Hongshan Yu (Organizing Chairs)
Organization
Sponsors
National Laboratory of Pattern Recognition
Hunan University
Co-Sponsors
Technical Committee of Pattern Recognition of Chinese Association for Artificial
Intelligence
Hunan Association of Automation
Steering Committee Chair
Tieniu Tan (Institute of Automation of CAS)
Steering Committee Members
Cheng-Lin Liu (Institute of Automation of CAS)
Yuan-Yan Tang (University of Macau)
Hongbin Zha (Peking University)
Changshui Zhang (Tsinghua University)
Nanning Zheng (Xi’an Jiaotong University)
General Chair
Yaonan Wang (Hunan University)
Program Chairs
Cheng-Lin Liu (Institute of Automation of CAS)
Shutao Li (Hunan University)
Organizing Chairs
Changyan Xiao (Hunan University)
Xiaogang Zhang (Hunan University)
Guocai Liu (Hunan University)
Hongshan Yu (Hunan University)
Publication Chair
Min Liu (Hunan University)
Publicity Chair
Xiaoyan Liu (Hunan University)
Organizing Committee
Zhigang Ling (Hunan University)
Qiaokang Liang (Hunan University)
Huali Li (Hunan University)
Zhenjun Zhang (Hunan University)
Xiaoqing Lu (Hunan University)
Leyuan Fang (Hunan University)
Li Zhou (Hunan University)
Haiyan Zhang (Hunan University)
Technical Program Committee
Xiang Bai
Hong Chang
Shengyong Chen
Songcan Chen
Hong Cheng
Jian Cheng
Dao-Qing Dai
Junyu Dong
Leyuan Fang
Jianjiang Feng
Jufu Feng
Xinbo Gao
Xin Geng
Xiaofei He
Zhaoshui He
Baogang Hu
Kaizhu Huang
Yunde Jia
Lianwen Jin
Xiaoyuan Jing
Jun Li
Shutao Li
Wu-Jun Li
Xuelong Li
Cheng-Lin Liu
Guocai Liu
Min Liu
Qingshan Liu
Wenju Liu
Yuehu Liu
Huchuan Lu
Jiwen Lu
Yue Lu
Bin Luo
Zhenjiang Miao
Yanwei Pang
Yu Qiao
He Ran
Nong Sang
Huanfeng Shen
Jun Sun
Xiaoyang Tan
Jinhui Tang
Huazhong University of Science and Technology
Institute of Computing Technology of CAS
Zhejiang University of Technology
Nanjing Univ. Aeronautics & Astronautics
Univ. Electronic Science & Technology of China
Institute of Automation of CAS
Sun Yat-Sen University
Ocean University of China
Hunan University
Tsinghua University
Peking University
Xidian University
Southeast University
Zhejiang University
Zhejiang University
Institute of Automation of CAS
Xi’an Jiaotong-Liverpool University
Beijing Institute of Technology
South China University of Technology
Wuhan University
Sun Yat-Sen University
Hunan University
Nanjing University
Xi'an Inst. Optics & Precision Mechanics of CAS
Institute of Automation of CAS
Hunan University
Hunan University
Nanjing Univ. Information Science & Technology
Institute of Automation of CAS
Xi’an Jiaotong University
Dalian University of Technology
Advanced Digital Sciences Center, Singapore
East China Normal University
Anhui University
Beijing Jiaotong University
Tianjin University
Shenzhen Inst. Advanced Technology of CAS
Institute of Automation of CAS
Huazhong University of Science and Technology
Wuhan University
Fujitsu R and D Center Co., LTD
Nanjing Univ. Aeronautics & Astronautics
Nanjing University of Science and Technology
Dacheng Tao
Wenbing Tao
Zengfu Wang
Hanzi Wang
Liang Wang
Liwei Wang
Shengjin Wang
Yaonan Wang
Yunhong Wang
Yihong Wu
Shiming Xiang
Changyan Xiao
Xin Xu
Pingkun Yan
Jian Yang
Jian Yu
Yuan Yuan
Hongbin Zha
Changshui Zhang
Daoqiang Zhang
Hongbin Zhang
Min-Ling Zhang
Jun Zhao
Wenming Zheng
Ping Zhong
Jie Zhou
Zhi-Hua Zhou
Wangmeng Zuo
Hong Kong Polytechnic University
Huazhong University of Science and Technology
University of Science and Technology of China
University of Adelaide
Institute of Automation of CAS
Peking University
Tsinghua University
Hunan University
Peking University
Institute of Automation of CAS
Institute of Automation of CAS
Hunan University
National University of Defense Technology
Philips Research North America
Nanjing University of Science and Technology
Beijing Jiaotong University
Xi'an Inst. Optics & Precision Mechanics of CAS
Peking University
Tsinghua University
Nanjing Univ. Aeronautics & Astronautics
Beijing University of Technology
Southeast University
Institute of Automation of CAS
Southeast University
National University of Defense Technology
Tsinghua University
Nanjing University
Harbin Institute of Technology
Referees
Bo Bai
Mingming Chen
Zhihui Chen
Qun Dai
Hong Deng
Fuqing Duan
Wei Fan
Youji Feng
Lihua Guo
Sheng-Jun Huang
Sen Jia
Xiaoheng Jiang
Taotao Lai
Qiming Li
Zhaoxin Li
Zhigang Ling
Li Liu
Wei Liu
Jiale Cao
Pan Chen
Zhenchao Cui
Zhijun Dai
Xiaoming Deng
Huixian Duan
Jianwu Fang
Lianru Gao
Fei He
Weilin Huang
Bo Jiang
Ye Jiang
Minxian Li
Ying Li
Shan Liang
Fan Liu
Qi Liu
Wei Liu
Li Chen
Yuxi Chen
Qing Da
Cheng Deng
Yongsheng Dong
Bin Fan
Yachuang Feng
Shuhang Gu
Bo Hu
Zhong Ji
Wei Jiang
Mahdi Khodadadzadeh
Peiqiang Li
Zechao Li
He Lin
Lei Liu
Qingjie Liu
Yi Liu
Yu Liu
Shujing Lu
Javier López-Fandiño
Liangrui Peng
Lishan Qiao
Xiangbo Shu
Yan Song
Nicole Tsu
Da-Han Wang
Jun Wang
Liuan Wang
Taiqing Wang
Ying Wang
Chunpeng Wu
Guili Xu
Xiang Xu
Songbai Yan
Wankou Yang
Zhanlei Yang
Xiaofang Yuan
Jing Zhang
Xin Zhang
Yanming Zhang
Liang Zheng
Xiang-Dong Zhou
Ximei Zhu
Pengcheng Zou
Luo Longrun
Wen Lu
Longlong Ma
Antonio Plaza
Dongwei Ren
Benqin Song
Dengdi Sun
Minghua Wan
Faqiang Wang
Liang Wang
Peng Wang
Xg Wang
Zhe Wang
Shufu Xie
Liang Xu
Wei Xue
Yan Yan
Wei Yang
Cong Yao
Jianlong Zhang
Mingming Zhang
Xingyi Zhang
Hao Zheng
Xiangtao Zheng
Ying Zhou
Zhuotun Zhu
Guifu Lu
Xiaoqiang Lu
Gabriel Martín Herández
Javier Plaza
Alim Samat
Fengyi Song
Chunna Tian
Bin Wang
Jian Wang
Limin Wang
Song Wang
Xiumei Wang
Ziteng Wang
Yujie Xiong
Miao Xu
Zhaohui Xue
Aiping Yang
Xubing Yang
Fei Yin
Jiaqi Zhang
Shaoquan Zhang
Xu-Yao Zhang
Kai Zheng
Guoqiang Zhong
Yu Zhou
Lina Zhuang
Keynote Speakers
1. 张钹
中国科学院院士，清华大学计算机系教授
Title: 我与人工智能
Abstract
1978 年清华大学计算机系成立了“人工智能与智能控制”的研究方向，人工智能的教学
与科研从此开始。1990 年 2 月“智能技术与系统”国家重点实验室正式对外开放运行。我
们为什么从事人工智能研究，又如何从事人工智能研究？30 多年中，我进行哪些研究工作，
取得哪些成果，有什么经验与体会。
在人工智能人才培养上，我是如何培养研究生，有什么经验与体会。
我的人生理想又是什么？
Biography
清华大学计算机系教授，中科院院士。1958 年毕业于清华大学自动控制系，同年留校任
教至今。1980,2-1982,2 美国伊利诺斯大学访问学者。2011 年汉堡大学授予自然科学荣誉博
士。曾任校学位委员会副主任，现任微软亚洲研究院技术顾问。
他参与人工智能、人工神经网络、机器学习等理论研究，以及这些理论应用于模式识别、
知识工程与机器人等技术研究。在过去 30 多年中，他提出问题求解的商空间理论，在商空
间数学模型的基础上，提出了多粒度空间之间相互转换、综合与推理的方法。提出问题分层
求解的计算复杂性分析以及降低复杂性的方法。该理论与相应的新算法已经应用于不同领域，
如统计启发式搜索、路径规划的拓扑降维法、基于关系矩阵的时间规划以及多粒度信息融合
等，这些新算法均能显著降低计算复杂性。该理论现已成为粒计算的主要分支之一。在人工
神经网络上，他提出基于规划和基于点集覆盖的学习算法。这些自顶向下的结构学习方法比
传统的自底向上的搜索方法在许多方面具有显著优越性。
2. Jon Atli Benediktsson
Prof. Jon Atli Benediktsson, Fellow IEEE, Fellow SPIE
Faculty of Electrical and Computer Engineering
University of Iceland
Title: Image Classification based on Mathematical Morphology
Abstract
We discuss the problem of estimating a structured matrix with a large number of elements. A key
motivation for this problem occurs in multi-task learning. In this case, the columns of the matrix
correspond to the parameters of different regression or classification tasks, and there is structure due to
relations between the tasks. We present a general method to learn the tasks' parameters as well as their
structure. Our approach is based on solving a convex optimization problem, involving a data term and a
penalty term. We highlight different types of penalty terms which are of practical and theoretical
importance. They implement structural relations between the tasks and achieve a sparse representations
of parameters. We address computational issues as well as the predictive performance of the method.
Biography
Jon Atli Benediktsson is Pro-Rector of Academic Affairs and Professor of Electrical and Computer
Engineering at the University of Iceland. He received the Cand. Sci. degree in electrical engineering
from the University of Iceland, Reykjavik, Iceland, in 1984 and the M.S.E.E. and Ph.D. degrees in
electrical engineering from Purdue University, West Lafayette, IN, in 1987 and 1990, respectively. His
research interests are in pattern recognition, remote sensing, image analysis, biomedical analysis of
signals, and signal processing, and he has published extensively in those fields. He is a cofounder of
the biomedical startup company Oxymap. Prof. Benediktsson is the 2011-2012 President of the IEEE
Geoscience and Remote Sensing Society (GRSS) and has been on the GRSS Administrative
Committee since 2000. He was the Editor of the IEEE Transactions on Geoscience and Remote
Sensing (TGRS) from 2003 to 2008 and has served as an Associate Editor of TGRS since 1999 and the
IEEE Geoscience and Remote Sensing Letters since 2003.He received the Stevan J. Kristof Award
from Purdue University in 1991 as outstanding graduate student in remote sensing. In 1997, he was the
recipient of the Icelandic Research Council’s Outstanding Young Researcher Award; in 2000, he was
granted the IEEE Third Millennium Medal; in 2004, he was a corecipient of the University of Iceland’
s Technology Innovation Award; in 2006, he received the yearly research award from the Engineering
Research Institute of the University of Iceland; and in 2007, he received the Outstanding Service
Award from the IEEE Geoscience and Remote Sensing Society. He is co-recipient of the 2012 IEEE
TGRS Best Paper Award, and a co-recipient of the 2013 IEEE GRSS High Impact Paper Award. In
2013 he received the IEEE/VFI Electrical Engineer of the Year Award. Prof. Benediktsson is a Fellow
of SPIE. He is a member of Societas Scientiarum Islandica and Tau Beta Pi.
3. Chris H.Q. Ding (丁宏强)
University of Texas at Arlington
Title: Sparse Coding and Low-rank Matrix Models for Data Representation and
Feature Selection
Abstract
Sparse coding and low rank models are mostly based on matrix models using L1 norm, L21 norm,
trace norm, etc. Sparse coding starts from LASSO using L1 norm for 2-class feature selection, and
grow into L21 norm based multi-class feature selection. Group LASSO incorporates class label
information. L2p norm based models show further improvements. Dictionary learning obtains data
representations better than PCA by learning the basis and codes with L1 regularization. Robust
dictionary learning uses L21 norm or L1 norm for data representation. Trace norm is used to enforce
low rank in data representation. Many new ideas and variants are proposed. In this talk, we survey
these new and growing areas, and their main computational methods: proximal gradient descent,
iteratively reweighted (EM-like) method, and augmented Lagrangian method. We note that although
convex formulations are mathematically elegant, their solutions are unique, and are heavily emphasized
here, non-convex formulations could be simpler and easier to understand (including model parameters),
faster to solve, and produce better results for real applications.
Biography
丁宏强在美国哥伦比亚大学李政道教授研究小组求学，获得哥伦比亚大学博士学位。长期工
作于美国加州理工学院，美国喷气动力实验室及美国劳伦斯-伯克利国家实验室。2007 年加入德
州大学阿灵顿分校任教授。他的研究领域包括数据挖掘，机器学习，信息检索，高性能计算等。
从 2001 年开始，他和合作者创立了用矩阵模型作为中心理论和计算方法的子领域，研究 PCA
和 K 均值聚类的等价性，非负矩阵分解的聚类特性，提出矩阵 L21 范数的概念。发表 200 余篇
论文，被引用 13400 次。曾在加州大学伯克利分校、斯坦福大学、卡耐基梅隆大学、滑铁卢大
学、阿尔伯塔大学、Google 研究院、IBM 研究院、Microsoft 研究院、香港大学、香港科技大学、
新加坡国立大学、北大、清华做学术报告。多次担任美国，香港，爱尔兰，以色列等国家科学基
金会项目评审人。获得四篇最佳论文奖。第三批国家千人计划，安徽大学特聘教授。
4. 周志华
南京大学
Title: 从 AdaBoost 到大间隔分布学习机
Abstract
本报告先介绍关于 AdaBoost 最近的理论研究结果，然后介绍在该结果启示下产生的机
器学习算法设计新思想，以及随之而来的有效算法。
Biography
周志华，南京大学教授，ACM Distinguished Scientist，IEEE Fellow，IAPR Fellow，中国
计算机学会会士。国家杰出青年基金获得者，长江学者特聘教授。主要从事机器学习、数据
挖掘、模式识别等领域的研究工作，在领域内一流国际期刊和顶级国际会议发表论文逾百篇，
论文被引用万余次，获发明专利 13 项。先后担任十六种 SCI(E)期刊的执行主编、副主编、
编委等。三十余次国际会议主席或领域主席，亚洲机器学习会议发起人。曾获国家自然科学
二等奖、两次教育部自然科学一等奖、IEEE 计算智能杰出青年成就奖、中国青年科技奖、
霍英东一等奖、微软青年教授奖、12 次国际期刊/会议论文、报告或竞赛奖等。
CCPR 2014 大会日程
2014 年 11 月 16-19 日，湖南，长沙
11 月 16 日
时间
日程
负责人
地点
10:00-21:00
注册
肖昌炎
集贤宾馆大堂
11 月 17 日
时间
日程
主持人
地点
8:20-8:50
开幕式
王耀南
逸夫楼报告厅
王耀南
逸夫楼报告厅
8:50-10:40
Keynote Talk 1: 我与人工智能
张钹，清华大学
10:40-11:10
Coffee Break
11:10-12:10
Keynote
Talk
2:
Image
Classification
based
on
Mathematical Morphology
Jon Atli Benediktsson，University of Iceland
12:20-13:00
午餐 地点：集贤宾馆餐厅大厅
14:00-16:00
Oral Session 1: Pattern Recognition Theory and Its Applications
1
2
3
4
5
6
16:00-16:20
主持人：刘敏 地点：电气院楼报告厅 224
A Nonlinear Classifier Based on Factorization Machines Model
Xiao-Long Liu, Yan-Ming Zhang, and Cheng-Lin Liu
Training Deep Belief Network with Sparse Hidden Units
Zhen Hu, Wenzheng Hu, and Changshui Zhang
The Research of Matching Area Selection Criterion for Gravity Gradient Aided
Navigation
Kai Han Li, Ling Xiong, Long Cheng, and Jie Ma
Coordination of Electric Vehicles Charging to Maximize Economic Benefits
Yongwang Zhang, Haoming Yu, Chun Huang, Wei Zhao, and Min Luo
Traffic Sign Recognition Using Perturbation Method
Lin-Lin Huang and Fei Yin
A Novel Two-Stage Multi-objective Ant Colony Optimization Approach for Epistasis
Learning
Peng-Jie Jing and Hong-Bin Shen
Coffee Break
16:20-17:40
Poster Session 1
1
2
主持人：余洪山 地点：电气院二楼走廊
A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation
Gu Yanchun, Zhang Defeng, Ma Zhengming, and Niu Guo
Application of Modified Teaching-Learning Algorithm in Coordination Optimization of
TCSC and SVC
Xiao Liwu, Zhu Qianlong, Li Canbing, Cao Yijia, Tan Yi,and Li Lijuan
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization
Jiang Zhu and Shiliang Sun
Short-Term Load Forecasting of LSSVM Based on Improved PSO Algorithm
Qianhui Gong, Wenjun Lu, Wenlong Gong, and Xueting Wang
Blob Detection with the Determinant of the Hessian
Xiaopeng Xu
A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks
Lei Guo, Shijie Li, Xin Niu, and Yong Dou
Fault Diagnosis for Distribution Networks Based on Fuzzy Information Fusion
Fangrong Wu, Minfang Peng, Mingjun Qi, Liang Zhu, Hua Leng, Yi Su, Qiang Zhong,
and Hu Tan
Kernel-Distance Target Alignment
Peiyan Wang and Dongfeng Cai
A LLE-Based HMM Applied to the Prediction of Kiln Coal Feeding Trend
Liu Yunlong and Zhang Xiaogang
Improved Margin Sampling for Active Learning
Jin Zhou and Shiliang Sun
Research on the Ant Colony Optimization Fuzzy Neural Network Control Algorithm for
ABS
Wang Chang Ping and Wang Ling
Hydraulic Excavators Recognition Based on Inverse” V” Feature of Mechanical Arm
Wenming Yang, Dedi Li, Daren Sun, and Qingmin Liao
Real-Time Traffic Sign Detection via Color Probability Model and Integral Channel
Features
Yi Yang and Fuchao Wu
Study of Charging Station Short-Term Load Forecast Based on Wavelet Neural Networks
for Electric Buses
Zhang Lei, Huang Chun, and Yu Haoming
The Layout Optimization of Charging Stations for Electric Vehicles Based on the Chaos
Particle Swarm Algorithm
Zhang Zhenghui, Huang Qingxiu, Huang Chun, Yuan Xiuguang, and Dewei Zhang
An Improved Feature Weighted Fuzzy Clustering Algorithm with Its Application in
Short-Term Prediction of Wind Power
Xinkun Wang, Diansheng Luo, and Hongying He
Charging Load Forecasting for Electric Vehicles Based on Fuzzy Inference
Yang Jingwei, Luo Diansheng, Yang Shuang, and Hu Shiyu
Security Event Classification Method for Fiber-optic Perimeter Security System Based on
Optimized Incremental Support Vector Machine
Lu Liu, Wei Sun, Yan Zhou, Yuan Li, Jun Zheng, and Botao Ren
Visual Tracking with Weighted Online Feature Selection
Tang Yu, Zhigang Ling, Jiancheng Li, and Lu Bai
A System of Image Aesthetic Classification and Evaluation Using Cloud Computing
Wang Weining, Liu Jiancong, Zhao Weijian, and Li Jiachang
Image Feature Extraction via Graph Embedding Regularized Projective Non-negative
Matrix Factorization
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
Haishun Du, Qingpu Hu, Xudong Zhang, and Yandong Hou
Sparse Manifold Preserving for Hyperspectral Image Classification
Hong Huang, Fulin Luo, Jiamin Liu, and Zezhong Ma
Hyperspectral Image Classification Using Local Collaborative Representation
Yishu Peng, Yunhui Yan, Wenjie Zhu, and Jiuliang Zhao
Simplified Constraints Rank-SVM for Multi-label Classification
Wang Jiarong, Feng Jun, Sun Xia, Su-Shing Chen, and Chen Bo
Semi-supervised Image Classification Learning Based on Random Feature Subspace
Liu Li, Zhang Huaxiang, Hu Xiaojun, and Sun Feifei
An Improved Multi-label Classification Ensemble Learning Algorithm
Fu Zhongliang, Wang Lili, and Zhang Danpu
An Improved Sparse Representation De-noising for Keeping Structural Features
Cui Zhi
A SVM Method Trained by Improved Particle Swarm Optimization for Image
Classification
Qifeng Qian, Hao Gao, and Baoyun Wang
Sparsity Based Feature Extraction for Kernel Minimum Squared Error
Jiang Jiang, Xi Chen, Haitao Gan, and Nong Sang
Eye Localization Based on Multi-Channel Correlation Filter Bank
Rui Yang, Shiming Ge, Kaixuan Xie, and Shuixian Chen
Person Re-identification by Cascade-Iterative Ranking
Xiangyu Wang, Feng Chen, and Yu Liu
Stereo Camera Based Real-Time Local Path-Planning for Mobile Robots
Huanqing Yang, Jianhua Zhang, and S.Y. Chen
A Tracking Method with Structural Local Mean and Local Standard Deviation
Appearance Model
Dawei Yang, Yang Cong, Yandong Tang, and Yulian Li
Hough-RANSAC: A Fast and Robust Method for Rejecting Mismatches
Hongxia Gao, Jianhe Xie, Yueming Hu, and Ze Yang
Partial Static Objects Based Scan Registration on the Campus
Chongyang Wei, Shuangyin Shang, Tao Wu, and Hao Fu
Quasi-Orthorectified Panorama Generation Based on Affine Model from Terrain UAV
Images
Yuchong Li
Shape Recognition by Combining Contour and Skeleton into a Mid-Level Representation
Wei Shen, Xinggang Wang, Cong Yao, and Xiang Bai
Visual Texture Perception with Feature Learning Models and Deep Architectures
Yuchen Zheng, Guoqiang Zhong, Jun Liu, Xiaoxu Cai, and Junyu Dong
Objects Detection Method by Learning Lifted Wavelet Filters
Aireti Abulikemu, Aliya Yushan, Turghunjan Abdukirim Turki, and Abdurusul Osman
A Fast Straight-Line Growing Algorithm for Sheet-Counting with Stacked-Paper Images
ZhenXiao Gang, Yang Shuo, and Changyan Xiao
Automatic Labanotation Generation Based on Human Motion Capture Data
Hao Guo, Zhenjiang Miao, Feiyue Zhu, Gang Zhang, and Song Li
11 月 18 日
时间
日程
主持人
地点
8:30-9:30
Keynote Talk 3：Sparse Coding and Low-rank Matrix
王亮
逸夫楼报告厅
Models for Data Representation and Feature Selection
Chris H.Q. Ding，University of Texas at Arlington
9:30-10:00
Coffee Break
10:00-12:00
Oral Session 2: Feature Extraction and Classification
1
2
3
4
5
6
12:10-13:00
主持人：桑农 地点：逸夫楼报告厅
Schatten p-Norm Based Matrix Regression Model for Image Classification
Lei Luo, Jian Yang, Jinhui Chen, and Yicheng Gao
Hyperspectral Image Classification by Exploiting the Spectral-Spatial Correlations in the
Sparse Coefficients
Dan Liu, Shutao Li, and Leyuan Fang
Spectral-Spatial Hyperspectral Image Classification Using Superpixel and Extreme
Learning Machines
Wuhui Duan, Shutao Li, and Leyuan Fang
Saliency Detection Based on Spread Pattern and Manifold Ranking
Yan Huang, Keren Fu, Lixiu Yao, Qiang Wu, and Jie Yang
A Structural Constraint Based Dual Camera Model
Xinzhao Li, Yuehu Liu, Shaozhuo Zhai, and Zhichao Cui
Hough Voting with Distinctive Mid-Level Parts for Object Detection
Xiaoqin Kuang, Nong Sang, Feifei Chen, Runmin Wang, and Changxin Gao
午餐 地点：集贤宾馆餐厅大厅
14:00-15:40
Poster Session 2
1
2
3
4
5
6
7
8
主持人：方乐缘 地点：电气院二楼走廊
Self-organizing Map-Based Object Tracking with Saliency Map and K-Means
Segmentation
YuanPing Zhang, YuanYan Tang, Bin Fang, ZhaoWei Shang, and C.Y. Suen
Superpixel-Based Global Optimization Method for Stereo Disparity Estimation
Haiqiang Jin, Sheng Liu, Shaobo Zhang, and Gaoxuan Ying
Two-Stage Saliency Detection Based on Continuous CRF and Sparse Coding
Qiyang Zhao, Weibo Li, Fan Wang, and Baolin Yin
Continuous Energy Minimization Based Multi-target Tracking
Zhe Shi, Songhao Zhu, Wei Sun, and Baoyun Wang
All-Focused Light Field Image Rendering
Zhang Rumin, Ruan Yu, Liu Dijun, and Zhang Youguang
Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained
Nonnegative Matrix Factorization
Denggang Li, Shutao Li, and Huali Li
An Adaptive Harris Corner Detection Algorithm for Image Mosaic
Haixia Pan, Yanxiang Zhang, Chunlong Li, and Huafeng Wang
A Study of Ancient Ceramics Verification Based on Vision Methods
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Yunqi Tang, Jianwei Ding, and Wei Guo
A Two-Stage Blind Image Color Correction Using Color Cast Estimation
Dawei Zhu, Li Chen, Jing Tian, and Xiaotong Huang
Encoding Optimization Using Nearest Neighbor Descriptor
Muhammad Rauf, Yongzhen Huang, and Liang Wang
Multi-modal Image Fusion with KNN Matting
Xia Zhang, Hui Lin, Xudong Kang, and Shutao Li
A Two-Step Adaptive Descreening Method for Scanned Halftone Image
Fei Chen, Shutao Li, Le Xu, Bin Sun, and Jun Sun
Compressive Sensing Multi-focus Image Fusion
Fang Cheng, Bin Yang, and Zhiwei Huang
Pan-Sharpening Based on Improvement of Panchromatic Image to Minimize Spectral
Distortion
Akbi Abdelkrim, Zhaoxiang Zhang, and Qingjie Liu
Combining SIFT and Individual Entropy Correlation Coefficient for Image Registration
Gan Liu, Shengyong Chen, Xiaolong Zhou, Xiaoyan Wang, Qiu Guan, and Hui Yu
Spectral Fidelity Analysis of Compressed Sensing Reconstruction Hyperspectral Remote
Sensing Image Based on Wavelet Transformation
Yi Ma, Jie Zhang, and Ni An
A Fast Algorithm for Image Defogging
Xiaoyan He, Jianxu Mao, Zewen Liu, Jiujiang Zhou, and Yajing Hua
A New Image Structural Similarity Metric Based on K-L Transform
Cheng Jiang, Fen Xiao, and Xiaobo He
A New Restoration Algorithm for Single Image Defogging
Fan Guo, Hui Peng, and Jin Tang
An Improved Laparoscopic Image Registration Algorithm Based on Sift
Jiujiang Zhou, Jianxu Mao, and Xiaoyan He
Application of Image Processing Techniques in Infrared Detection of Faulty Insulators
Yefan Wu, Jiangang Yao, Tangbing Li, Peng Fu, Wei Liao, and Mi Zhang
Robust Appearance Learning for Object Tracking in Challenging Scenes
Jianwei Ding, Yunqi Tang, Huawei Tian, and Yongzhen Huang
Vehicle Recognition for Surveillance Video Using Sparse Coding
Shirong Zeng, Xin Niu, and Yong Dou
Video Smoke Detection Basedon the Optical Properties
Yingjing Wu and Ying Hu
Discovery of the Topical Object in Commercial Video: A Sparse Coding Method
Yunhui Liu, Huaping Liu, and Fuchun Sun
Study the Moving Objects Extraction and Tracking Used the Moving Blobs Method in
Fisheye Image
Wu Jianhui, Zhang Guoyun, Yuan Shuai, Guo Longyuan, and Tan Mengxia
Facial Feature Extraction Based on Robust PCA and Histogram
Xiao Luan and Weisheng Li
Multimodal Finger Feature Fusion and Recognition Based on Delaunay Triangular
Granulation
Jinjin Peng, Yanan Li, Ruimei Li, Guimin Jia, and Jinfeng Yang
29
30
31
32
33
34
35
36
37
38
39
40
41
15:40-16:00
Robust Face Recognition via Facial Disguise Learning
Meng Yang and Linlin Shen
A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments
Shuping Liu, Yu Liu, Jun Yu, and Zengfu Wang
Face Recognition in the Wild by Mining Frequent Feature Itemset
Yuzhuo Wang, Hong Cheng, Yali Zheng, and Lu Yang
Single-Sample Face Recognition via Fusion Variant Dictionary
Ying Tai, Jian Yang, Jianjun Qian, and Yu Chen
Supervised Kernel Construction for Unsupervised PCA on Face Recognition
Yang Zhao, Wen-Sheng Chen, Binbin Pan, and Bo Chen
Influence of Scan Duration on the Reliability of Resting-State fMRI Regional
Homogeneity
Xiaotang Li, Jiansong Zhou, and Xiaoyan Liu
A Global Eigenvalue-Driven Balanced Deconvolution Approach for Network
Direct-Coupling Analysis
Hai-Ping Sun and Hong-Bin Shen
Sequence-Based Prediction of Protein-Protein Binding Residues in Alpha-Helical
Membrane Proteins
Feng Xiao and Hong-Bin Shen
Natural Scene Text Image Compression Using JPEG2000 ROI Coding
Yuanping Zhu and Li Song
Off-Line Uyghur Handwritten Signature Verification Based on Combined Features
Kurban Ubul, Tuergen Yibulayin, and Alimjan Aysa
Off-Line Signature Verification Based on Local Structural Pattern Distribution Features
Jing Wen, MoHan Chen, and JiaXin Ren
A Segmentation Based Change Detection Method for High Resolution Remote Sensing
Image
Lin Wu, Zhaoxiang Zhang, Yunhong Wang, and Qingjie Liu
Automatic Estimation of Muscle Thickness in Ultrasound Images Based on Revoting
Hough Transform (RVHT)
Jianhao Tan, Xiaolong Li, Wentao Zhang, Yaoqin Xie, and Yongjin Zhou
Coffee Break
Oral Session 3: Image and Video Processing
1
16:00-17:40
2
3
4
主持人：潘春洪 地点：电气院报告厅 224
Transferring Segmentation from Image to Image via Contextual Sparse Representation
Shuangshuang Li, Yonghao He, Shiming Xiang, Lingfeng Wang, and Chunhong Pan
Fast Augmented Lagrangian Method for Image Smoothing with Hyper-Laplacian
Gradient Prior
Li Chen, Hongzhi Zhang, Dongwei Ren, David Zhang, and Wangmeng Zuo
Study on Distribution Coefficient in Regulation Services with Energy Storage System
Shaojie Tan, Xinran Li, Ming Wang, Yawei Huang, Tingting Xu, and Xingting Cheng
Finding the Accurate Natural Contour of Non-rigid Objects in Video
Gaoxuan Ying, Sheng Liu, and Yiting Jin
5
An Improved Multipitch Tracking Algorithm with Empirical Mode Decomposition
Wei Jiang,Wen-Ju Liu,Ying-Wei Tan,and Shan Liang
Voting for the CCPR 2016
17:40-18:10
主持人：刘成林 地点：电气院报告厅 224
18:30-19:30
宴会 地点：集贤宾馆餐厅大厅
11 月 19 日
时间
8:30-9:30
日程
从 AdaBoost 到大间隔分布学习机
主持人
刘成林
地点
逸夫楼报告厅
周志华，南京大学
9:30-9:50
Coffee Break
9:50-10:50
Oral Session 4: Biometric and Action Recognition
1
2
3
10:50-12:10
Oral Session 5: Biomedical Image Analysis
1
2
3
4
12:20-13:00
13:30-15:30
主持人：汪增福 地点：逸夫楼报告厅
A Non-negative Low Rank and Sparse Model for Action Recognition
Biyun Sheng, Wankou Yang, Baochang Zhang, and Changyin Sun
Extreme Learning Machine Based Hand Posture Recognition in Color-Depth Image
Zhen Zhou, Shutao Li, and Bin Sun
Real-Time Human Detection Based on Optimized Integrated Channel Features
Jifeng Shen, Xin Zuo, Wankou Yang, and Guohai Liu
主持人：涂圣贤 地点：逸夫楼报告厅
Medical Image Clustering Based on Improved Particle Swarm Optimization and
Expectation Maximization Algorithm
Zheng Tang, Yu-Qing Song, and Zhe Liu
Medical Image Fusion by Combining Nonsubsampled Contourlet Transform and Sparse
Representation
Yu Liu, Shuping Liu, and Zengfu Wang
Automated Segmentation and Tracking of SAM Cells
Min Liu and Peng Xiang
Three Dimension image processing and its applications in diagnosis of coronary artery
disease and optimization of coronary interventions
Shengxian Tu
午餐 地点：集贤宾馆餐厅大厅
Oral Session 6: Document and Speech Analysis
1
2
主持人：孙俊 地点：电气院报告厅 224
Robust Voice Activity Detection Using the Combination of Short-Term and Long-Term
Spectral Patterns
Ying-Wei Tan and Wen-Ju Liu
Speech Emotion Recognition Based on Coiflet Wavelet Packet Cepstral Coefficients
3
4
5
6
15:30-16:00
Yongming Huang, Ao Wu, Guobao Zhang, and Yue Li
Text Detection in Natural Scene Images Leveraging Context Information
Runmin Wang, Nong Sang, Changxin Gao, Xiaoqin Kuang, and Jun Xiang
Adaptive Local Receptive Field Convolutional Neural Networks for Handwritten Chinese
Character Recognition
Li Chen, Chunpeng Wu, Wei Fan, Jun Sun, and Satoshi Naoi
Character Segmentation for Classical Mongolian Words in Historical Documents
Xiangdong Su, Guanglai Gao, Weihua Wang, Feilong Bao, and Hongxi Wei
MCDF Based On-Line Handwritten Character Recognition for Total Uyghur Character
Forms
Askar Hamdulla, Wujiahemaiti Simayi, Mayire Ibrayim, and Dilmurat Tursun
Award and Closing
主持人：刘成林 地点：电气院报告厅 224
会议地址:
湖南大学 逸夫楼报告厅，电气院报告厅 224
长沙市岳麓区麓山南路 1 号, 长沙
联系方式:
邮箱: ccpr2014@hnu.edu.cn
电话: +86-731-88822224
传真: +86-731-88822224
交通方式：
（1） 从黄花机场，乘坐机场大巴到民航大酒店下车(约 30 分钟)，然后转“旅游 1 路”或
者“立珊专线”公交车在岳麓山南站下车（约 30 分钟），最后步行可达湖南大学电
气与信息工程学院和集贤宾馆（约 10 分钟）
。
（乘坐的士请在湖南大学东方红广场下
车，约 30-40 分钟）
（2） 从长沙火车站，乘坐“旅游 1 路”或者“立珊专线”公交车在岳麓山南站下车（约
30 分钟）
，然后步行可达湖南大学电气与信息工程学院和集贤宾馆（约 10 分钟）
。
（乘
坐的士请在湖南大学东方红广场下车，约 20-30 分钟）
（3） 从长沙高铁站，乘坐“63 路”公交车在湖南大学站下车（约 40 分钟）
，然后步行可
达湖南大学电气与信息工程学院和集贤宾馆（约 15 分钟）。
（乘坐的士请在湖南大学
东方红广场下车，约 20-30 分钟）
1．长沙市地图：
湖南大学
2．湖南大学地图：
湖南大学逸夫楼，湖南大学电气与信息工程学院