中国计算机学会青年计算机科技论坛
CCF Young Computer Scientists & Engineers Forum
CCF YOCSEF天津
于2012年7月22日15:00-17:30
在天津大学计算机学院会议室(25B407)举行
学术报告会,敬请光临!
程 序
一、议程
9:50 签到
10:00 报告会开始
特邀讲者:张磊博士,香港理工大学
演讲题目:Real Time Compressive Tracking
内容简介:
This talk will introduce some of our recent research progress in computer vision and pattern recognition with focus on real time visual tracking.
It is a challenging task to develop effective and efficient appearance models for robust object tracking due to factors such as pose variation, illumination change, occlusion, and motion blur. Existing online tracking algorithms often update models with samples from observations in recent frames. While much success has been demonstrated, several issues remain to be addressed. First, while these adaptive appearance models are data-dependent, there does not exist sufficient amount of data for online algorithms to learn at the outset. Second, online tracking algorithms often encounter the drift problems. As a result of self-taught learning, these misaligned samples are likely to be added and degrade the appearance models. We propose a simple yet effective and efficient tracking algorithm with an appearance model based on features extracted from the multi-scale image feature space with data-independent basis. Our appearance model employs non-adaptive random projections that preserve the structure of the image feature space of objects. A very sparse measurement matrix is adopted to efficiently extract the features for the appearance model. We compress samples of foreground targets and the background using the same sparse measurement matrix. The tracking task is formulated as a binary classification via a naive Bayes classifier with online update in the compressed domain. The proposed compressive tracking algorithm runs in real-time (40FPS in Matlab) and performs favorably against state-of-the-art algorithms on challenging sequences in terms of efficiency, accuracy and robustness.
Panel讨论
参加人员:IT领域专业人士、研究生、媒体、其他有兴趣者。
二、特邀讲者 张磊博士
个人主页:http://www4.comp.polyu.edu.hk/~cslzhang/
Lei Zhangreceived the B.Sc. degree in 1995 from Shenyang Institute of Aeronautical Engineering, Shenyang, P.R. China, the M.Sc. and Ph.D degrees in Control Theory and Engineering from Northwestern Polytechnical University, Xi’an, P.R. China, respectively in 1998 and 2001. From 2001 to 2002, he was a research associate in the Dept. of Computing, The Hong Kong Polytechnic University. From Jan. 2003 to Jan. 2006 he worked as a Postdoctoral Fellow in the Dept. of Electrical and Computer Engineering, McMaster University, Canada. In 2006, he joined the Dept. of Computing, The Hong Kong Polytechnic University, as an Assistant Professor. Since Sept. 2010, he has been an Associate Professor in the same department.
His research interests include Image and Video Processing, Computer Vision, Pattern Recognition and Biometrics, etc. Dr. Zhang is an Associate Editor of IEEE Trans. on SMC-C, IEEE Trans. on Circuits and Systems for Video Technology, Image and Vision Computing, and the guest editor of several special issues in international journals. Dr. Zhang has published more than 100 papers in top journals and conferences. Dr. Zhang was awarded the Faculty Merit Award in Research and Scholarly Activities 2010 and 2012, the Best Paper Award of SPIE VCIP2010. The “Digital Image/ Video Quality Enhancement System” he developed was awarded the Silver Medal in the iENA exhibition, Nuremberg, Germany. More information can be found in his homepage http://www4.comp.polyu.edu.hk/~cslzhang/.
三、联系人
联系人:胡清华 手机:13920114981
报名方式: Email:huqinghua@tju.edu.cn