讲座题目：Recent Developments in Motion Segmentation and Human Activity Recognition人类活动识别和运动分割的研究进展

讲座地点：计算机科学与软件学院102会议室

讲座时间：2015年4月24日（星期五）上午9:30

武庆明教授简介：

       武庆明（Q.M. Jonathan Wu） 教授长期从事计算机视觉，图像处理，模式识别与智能系统的教学与研究工作，先后主持完成加拿大国家科学与工程研究项目(NSERC)，国际合作重大项目、加拿大国家重点基金项目，现任加拿大温莎大学电子工程系教授，博士生导师，计算机视觉和传感系统研究所主任,加拿大汽车电子和信息系统领域首席科学家，至今共培养博士、博士后30 余人，现任国际杂志《IEEE Transaction on Neural Networks and Learning Systems》, 《InternationalJournal of Robotics and Automation》与《Cognitive Computation》副主编，《IEEE Computational Intelligence Magazine》客座编委。曾任《IEEE Transaction on Systems, Man, and Cybernetics, Part A》与《International Journal of Control and Automation》编委。在过去的研究工作中，申请人对图像实时分割、图像压缩与特征提取、图像去噪与识别、三维重建等问题进行了深入研究，其研究成果均以通讯作者发表于《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Image Processing》、《IEEE Transactions on Cybernetics》、《IEEE Transactions on Fuzzy Systems》、《International Journal of Computer Vision》、《Pattern Recognition》等国际相关学术期刊上，其中SCI 收录论文100 多篇， IEEE Transactions 论文40 余篇，在图像处理、智能信息处理、机器学习与模式识别领域，取得多项重大研究成果。武教授多次参加并任职包括ICCV、CVPR、ACCV、ICIP 等在内三十多个国际会议的组织委员会主席和评审委员会委员。

讲座内容简介：

        Motion segmentation in terms of dynamic textures, and human activity recognition are topics that have attracted growing attention in computer vision community. This talk is mainly concentrated on recent trends in dynamic texture segmentation, and human activity recognition. We first present two techniques for dynamic texture: a feature selection based dynamic mixture model for motion segmentation, and a linear-time video segmentation method which is scalable and temporally consistent for streaming videos. We then present a general framework to efficiently identify objects of interest in still images and later extend its application to human action recognition in videos. 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. A brief overview of other related research activities in the presenter’s laboratory is also provided. Applications have been extended towards intelligent transportation systems, surveillance and security, face and gesture recognition, vision-guided robotics, and biomedical imaging, among others.