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2014年11月19日学术报告:Recent Trends in Action and Activity Recognition


添加时间:2014-10-27 14:43:41



时间: 2014年11月19日,上午10点,

地点:中心教学楼1003

题目:Recent Trends in Action and Activity Recognition

报告人:Jonathan Wu, University of Windsor, Canada

报告摘要:

The computer vision community is faced with the challenge of devising novel, robust and efficient algorithms to learn models which are helpful in categorizing huge amount of visual data. Recognition algorithms play a pivotal role in commercially available frameworks for automated analysis and detection of objects of interest (OI). Traditionally, supervised learning frameworks have inherent limitations of longer durations for training and finding local maxima that may lead to poor classification accuracy. Recent action recognition schemes have ignored complexity associated with redundant training samples and learning strategies. To cope with inherent limitations of gradient descent approach, model learning can be analytically performed at an extremely fast speed without iterative adjustments. This presentation is mainly concentrated on recent trends in action and activity recognition. We believe that computation, and selection of meaningful features and their use in model learning are equally important for recognition purposes. In this presentation, first we will discuss reasons for analytic training approach and then present a general framework to efficiently identify OI in still images and later extend its application to human action recognition in videos as well. Such scheme can also be implemented in a situation where training data is coming in a serial mode and training needs to be performed in an incremental fashion.

报告人:

Brief Biography:   Dr.  Jonathan Wu
Dr. Jonathan Wu is a Professor of Electrical and Computer Engineering and a Tier 1 Canada Research Chair in Automotive Sensors and Information Systems since 2005. He is the founding director of the Computer Vision and Sensing Systems Laboratory at the University of Windsor, Canada. Prior to joining the University, Dr. Wu was a Senior Research Officer and Group Leader at the National Research Council of Canada (NRC). He has published one book in the area of 3D vision and more than 300 peer-reviewed papers (including 150 journal publications) in areas of computer vision, multimedia information processing, and intelligent systems. Dr. Wu is an Associate Editor for IEEE Transaction on Neural Networks and Learning Systems, and IEEE Transaction on SMC: Systems. He is also on the editorial board of the International Journal of Robotics and Automation. Dr. Wu has served on the Technical Program Committees and International Advisory Committees for many prestigious conferences including IEEE Conference on Computer Vision and Pattern Recognition (CVPR)



作者:宋浩