International Journal of Computational Science and Engineering Research
Open Access publication.
Spatio-Temporal Modeling for Abnormal Behaviour Detection in Crowd Scenes
Abstract
In this paper, an alternative technique for determining unexpected human-movement regions is presented and demonstrated. In particular, we propose an efficient alternative to human activity by bounding or identifying individual humans or their parts, denoting an actuator or effect -intensifying tracking. The proposed movement effect map serves as a comprehensive representation of motion velocity characteristics, which includes the movement direction and magnitude of objects or subjects that interact with each other inside a particular area or group. Record Terms: Strange movement discovery, imaginative and prescient-primarily based reconnaissance, movement impact map, swarmed scenes/domestic.
Keywords: Crowd Anomaly Detection, Spatio-Temporal Feature Learning, Video Surveillance Analytics, DL