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A Review of Physics-based Methods for Group and Crowd Analysis in Computer Vision
Hyunjoon Jo, Kabir Chug, and Ricky J. Sethi
USC Information Sciences Institute, Marina del Rey, CA 90292 USA

Crowd analysis is a popular topic in computer vision, with important applications to video surveillance, social media analysis, and multimedia retrieval, to name just a few areas. In this paper, we review some of the physics-based methods for group and crowd analysis in computer vision. In particular, we examine approaches for physics-based analysis of groups, crowds, and the simulation of crowds. The purpose of this review is to categorize and delineate the various physics-based and physics-inspired approaches that have been applied to the examination of groups and crowds in video.


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