Title :
A Two-stage Multi-view Analysis Framework for Human Activity and Interactions
Author :
Park, Sangho ; Trivedi, Mohan M.
Author_Institution :
University of California, San Diego
Abstract :
This paper presents a new framework for a multi-stage multi-view approach for human interactions and activity analysis. The analysis is performed in a distributed vision system that synergistically integrate track- and body-level representations across multiple cameras. Our system aims at versatile and easily-deployable system that does not require careful camera calibration. Main contributions of the paper are: (1) context-dependent camera handover for occlusion handling, (2) switching the multi-stage analysis between track- and body-level representations, and (3) a hypothesis-verification paradigm for top-down feedback exploiting spatio-temporal constraints inherent in human interaction. Experimental evaluation shows the efficacy of the proposed system for analyzing multi-person interactions. Current implementation uses two views, but extension to more views is straightforward.
Keywords :
Cameras; Computer vision; Computerized monitoring; Condition monitoring; Feedback; Humans; Image analysis; Machine vision; Motion analysis; Robot vision systems;
Conference_Titel :
Motion and Video Computing, 2007. WMVC '07. IEEE Workshop on
Conference_Location :
Austin, TX, USA
Print_ISBN :
0-7695-2793-0
DOI :
10.1109/WMVC.2007.3