武庆明教授学术报告通知

Video analysis has a crucial role in the visual learning applications such as autonomous driving cars, video retrieval, intelligent monitoring systems, and tele-immersion machines. Most of the video analysis applications highly depend on the human action recognition frameworks. Nowadays, a variety of algorithmic blocks including video feature extraction, feature encoding, and classification methods have been proposed to recognize human actions in pre-segmented video datasets. However, in most of the real-world visual learning applications, the captured videos are not pre-segmented. In other words, the recorded videos may contain several actions in one shot. Consequently, the available action recognition frameworks fail to recognize the action since the real-world videos include a long and complicated temporal structure. To address this problem, we propose efficient video clustering algorithms to temporally segment the constrained and unconstrained videos into plausible non-overlapping actions. Then, we detect and recognize the key action among multiple temporal clusters in each video. We propose an unsupervised learning methodology to represent a video cluster based on the orders of vital frames. Finally, we offer a hybrid classifier to efficiently leverage different kernels and informative features for categorizing a given video cluster into a proper class of action.A brief overview of other related research activities in the presenter’s laboratory related to computer vision and machine learning is also provided. Applications have been extended towards intelligent transportation systems, surveillance and security, face and gesture recognition, vision-guided robotics, and bio-medical imaging, among others.
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　　主讲人武庆明教授简介：武庆明，男，博士、教授、博士生导师、加拿大首席科学家。1990年获得英国威尔士大学电子工程系博士学位。1995-2005年在加拿大国家研究院从事研究工作，任高级研究主管，加拿大国家研究院传感与控制科学国家实验室主任，2005年起任教于加拿大温莎大学，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，加拿大首席科学家。武教授长期从事图像理解、机器学习与智能传感系统的研究与教学工作，在相关国际期刊和国际学术会议上发表论文300余篇，其中SCI论文120余篇，SCI二区以上论文80余篇，IEEETransactions论文50余篇，研究成果在国际上赢得了同行的良好声誉与广泛关注。先后主持完成加拿大国家科学与工程研究项目(NSERC)，国际重大合作项目、加拿大国家重点基金项目等在内的30多个国家级以及国际合作项目，研究经费总额超过500万加元，培养博士后、博士40余人。担任国际权威杂志《IEEETransactiononNeuralNetworksandLearningSystems》、《IEEETransactionsonSystems,Man,andCyberneticsPartA》、《InternationalJournalofRoboticsandAutomation》与《CognitiveComputation》副主编，《IEEEComputationalIntelligenceMagazine》客座编委，并任职国际顶级会议CVPR、ICCV、ACCV等在内的40多个国际学术会议的组织委员会主席和评审委员会委员。