Abnormal Behavior Detection Based on Spatio-Temporal Information Fusion for High Density Crowd

Honghua Xu; Li Li; Feiran Fu

doi:10.1007/978-981-15-2568-1_188

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Abnormal Behavior Detection Based on Spatio-Temporal Information Fusion for High Density Crowd

Honghua Xu Li Li Feiran Fu

Year: 2020 Advances in intelligent systems and computing Pages: 1355-1363 Publisher: Springer Nature

DOI: 10.1007/978-981-15-2568-1_188

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Keywords:

Computer science Artificial intelligence Crowd psychology Computer vision Classifier (UML) Segmentation Pattern recognition (psychology) Entropy (arrow of time)

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Abnormal Behavior Detection Based on Spatio-Temporal Information Fusion for High Density Crowd

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