Chaotic whale-atom search optimization-based deep stacked auto encoder for crowd behaviour recognition

The activity recognition gained immense popularity due to increasing number of surveillance cameras. The purpose of activity recognition is to detect the actions from the series of examination by varying the environmental condition. In this paper, Chaotic Whale Atom Search Optimisation (CWASO)-based...

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Veröffentlicht in:	Journal of experimental & theoretical artificial intelligence Jg. 36; H. 2; S. 187 - 211
Hauptverfasser:	Singh, Juginder Pal, Kumar, Manoj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 17.02.2024 Taylor & Francis Ltd
Schlagworte:	Activity recognition Algorithms Coders crowd behaviour Crowd monitoring Datasets deep stacked autoencoder Feature recognition LOOP Optical flow (image analysis) Optimization Searching Sensitivity statistical features Video surveillance Whales
ISSN:	0952-813X, 1362-3079
Online-Zugang:	Volltext
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