Video-based Analysis of Humans and Their Behavior
This talk will give an overview of some of the research in the Image and Video Computing Group at Boston University related to image- and video-based analysis of humans and their behavior, including: tracking humans, localizing and classifying actions in space-time, exploiting contextual cues in action classification, estimating human pose from images, analyzing the communicative behavior of children in video, and sign language recognition and retrieval.
Collaborators in this work include (in alphabetical order): Vassilis Athitsos, Qinxun Bai, Margrit Betke, R. Gokberk Cinbis, Kun He, Nazli Ikizler-Cinbis, Hao Jiang, Liliana Lo Presti, Shugao Ma, Joan Nash, Carol Neidle, Agata Rozga, Tai-peng Tian, Ashwin Thangali, Zheng Wu, and Jianming Zhang.
Speaker Biography
Stan Sclaroff (Department of Computer Science, Boston University)
Stan Sclaroff received the PhD degree from the MIT Media Lab in 1995. He is a professor in the Department of Computer Science at Boston University (he chaired the department from 2006-2013, and is currently on sabbatical leave). Professor Sclaroff’s research interests include tracking, video-based analysis of human motion and gesture, object detection and classification, deformable shape matching and recognition, as well as image/video database indexing, retrieval and data mining methods.
