Title:Mining MiddleLevel Representations for Complex Human Action Recognition

报告人:乔宇 博士(中科院深圳先进技术研究院研究员)

报告时间:2014年1月15日  下午15:00-16:00




Human action recognition is receiving extensive research interests in computervision nowadays due to its wide applications in surveillance, human-computerinterface, sports video analysis, and content based video retrieval. Thechallenges of action recognition come from background clutter, viewpoint changes,and motion and appearance variations.  Inthis talk, we will show our two recent works (CVPR13, ICCV13) to address thesechallenges. Both of them develop middle level parts for action representation,but different in how to define and mine the parts. Experimental results onlarge public datasets demonstrate the effectiveness of our approach. Our methodachieves the best known performance (87%) on ICCV THUMOS'13 Action RecognitionChallenge. 



乔 宇,中科院深圳先进技术研究院(简称先进院),研究员,博士生导师。先进院集成所副所长,深圳市“机器视觉与模式识别”重点实验室副主任。2011年获得 中国科学院“百人计划”择优支持,入选深圳市“孔雀计划”首批海外高层次人才,是广东省引进创新科研团队核心成员。他长期从事计算机视觉、图像处理、语音 处理和模式识别的研究,已在包括IEEE Trans. PAMI, IEEE Trans. IP, IEEE Trans. SP, CVPR,ICCV, ICASSP等会议和期刊上发表第一作者和通信作者论文近40篇,学术论文共计100余篇。获中国科学院卢嘉锡青年人才奖。


Yu Qiao received Ph.D from the University of Electro-Communications, Japan,in 2006. He was a JSPS fellow and then a project assistant professor with theUniversity of Tokyo from 2007 to 2010. Now he is a professor and a CAS BaiRenscholar with the Shenzhen Institutes of Advanced Technology, the ChineseAcademy of Sciences. His research interests include pattern recognition, computervision, multimedia, image processing and machine learning. He has publishedmore than 100 papers in these fields. He received the Lu Jiaxi young researcheraward from the Chinese Academy of Sciences.