Homography-based Analysis of People and Vehicle Activities in Crowded Scenes

Authors:
Sangho Park;Mohan M. Trivedi
Affiliations:
University of California, San Diego;University of California, San Diego
Venue:
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Year:
2007

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Abstract

This paper presents an new framework for homographybased analysis of pedestrian-vehicle activity in crowded scenes. Planar homography constraint is exploited to extract view-invariant object features including footage area and velocity of objects on the ground plane. Spatiotemporal relationships between people- and vehicle- tracks are represented by a semantic event. Context awareness of the situation is achieved by the estimated density distribution of objects and the anticipation of possible directions of near-future tracks using piecewise velocity history. Singleview and multi-view based homography mapping options are compared. Our framework can be used to enhance situational awareness for disaster prevention, human interactions in structured environments, and crowd movement analysis at wide regions.