CMA-HT: a crowd motion analysis framework based on heat-transfer analog model
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.
This paper was published in SPIE Proceedings Vol. 8402