CMA-HT: a crowd motion analysis framework based on heat-transfer analog model

Yu Liang; William Melvin; Subramania I. Sritharan; Shane Fernandes; Darrell Barker

doi:10.1117/12.919088

3 May 2012 CMA-HT: a crowd motion analysis framework based on heat-transfer analog model

Yu Liang, William Melvin, Subramania I. Sritharan, Shane Fernandes, Darrell Barker

Proceedings Volume 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI; 84020J (2012) https://doi.org/10.1117/12.919088
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Yu Liang, William Melvin, Subramania I. Sritharan, Shane Fernandes, and 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); https://doi.org/10.1117/12.919088

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