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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
rickys@sethi.org

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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