Implementation of a behavioral analysis method of crowd movement in the service of video surveillance

Amaury Auguste; Ghislain Oudinet; Wissam Kaddah; Marwa Elbouz; Ayman Alfalou

doi:10.1117/12.2586946

12 April 2021 Implementation of a behavioral analysis method of crowd movement in the service of video surveillance

Amaury Auguste, Ghislain Oudinet, Wissam Kaddah, Marwa Elbouz, Ayman Alfalou

Proceedings Volume 11735, Pattern Recognition and Tracking XXXII; 117350K (2021) https://doi.org/10.1117/12.2586946
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Behavioral analysis in an urban environment is a complex task that requires material and human resources, due to the difficulty of interpreting the situations. This paper presents a method to improve the detection of dangerous behaviors by assisting surveillance stations. Our objective is to alert when one of these behaviors is captured by a surveillance camera. To do this, we analyze the positions and paths of the persons in a global way, through a group of parameters. These parameters are determined by an automatic image analysis algorithm such as DBSCAN computed on an NVIDIA Jetson TX2. This analysis allows to detect, through the evolution and clustering of points in each cloud, phenomena qualified as abnormal, such as dispersion and rapid clustering, as well as poaching. The data used to feed our algorithm come from simulations that allow testing new and different scenarios. The performance of our proposed method is evaluated on videos representing real case situations.

Conference Presentation

Citation Download Citation

Amaury Auguste, Ghislain Oudinet, Wissam Kaddah, Marwa Elbouz, and Ayman Alfalou "Implementation of a behavioral analysis method of crowd movement in the service of video surveillance", Proc. SPIE 11735, Pattern Recognition and Tracking XXXII, 117350K (12 April 2021); https://doi.org/10.1117/12.2586946

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