3 May 2012 CMA-HT: a crowd motion analysis framework based on heat-transfer analog model
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Abstract
Crowd motion analysis covers the detection, tracking, recognition, and behavior interpretation of target group from persistent surveillance video data. This project is dedicated to investigating a crowd motion analysis system based on a heat-transfer-analog model (denoted as CMA-HT for simplicity), and a generic modeling and simulation framework describing crowd motion behavior. CMA-HT is formulated by coupling the statistical analysis of crowd's historical behavior at a given location, geographic information system, and crowd motion dynamics. The mathematical derivation of the CMA-HT model and the innovative methods involved in the framework's implementation will be discussed in detail. Using the sample video data collected by Central Florida University as benchmark, CMA-HT is employed to measure and identify anomalous personnel or group responses in the video.
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Yu Liang, William Melvin, Subramania I. Sritharan, Shane Fernandes, Darrell Barker, "CMA-HT: a crowd motion analysis framework based on heat-transfer analog model", Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 84020J (3 May 2012); doi: 10.1117/12.919088; https://doi.org/10.1117/12.919088
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