报告题目：Human Tracking, Identification and Activity Detection from Multiple Wearable Camera Videos
报告人：王松 教授
报告时间：2016年5月23日（周一）上午10：30
报告地点：信息馆401
报告人简介：王松教授简介：王松教授分别在1994年和1998年获得清华大学学士学位、硕士学位，2002年获得美国伊利诺伊大学厄巴纳-香槟分校电子与计算机工程博士学位，并于同年加入南卡罗来纳大学计算机科学与工程系，现任该系终身教授。王松教授一直从事图像处理、计算机视觉与机器学习方面的研究工作；所在的图像处理实验室先后承担了国家自然科学基金、空军科学研究局、高级防御研究计划局的课题；王松教授担任Pattern Recognition Letters副编辑，Computer Vision and Image Understanding客座编辑，同时是IEEE高级会员。

报告简介：Video activity detection has wide applications in public security and our daily life. The videos collected by fixed cameras can only cover limited spatial areas from pre-specified view angles. In recent years, the rapid advancement of the wearable-camera technology, such as GoPro and Google Glass, provides a new perspective for wider-range video activity detection, as well as reflecting the wearers’ intelligence is capturing the activities of interest. However, the continuous motion and the possible sudden view-angle change of the wearable cameras also bring new challenges to video activity detection. In this talk, I will introduce new problems emerging from the use of multiple wearable cameras for video activity detection. More specifically, I will discuss about the new problems and possible solutions in crowded human tracking over temporal intervals, cross-video person identification, and the collaborative human activity detection from multiple wearable-camera videos。

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信息科学与工程学院
2016年5月23日