An Adaptive Classifier Based Approach for Crowd Anomaly Detection

Crowd Anomaly Detection has become a challenge in intelligent video surveillance system and security. Intelligent video surveillance systems make extensive use of data mining, machine learning and deep learning methods. In this paper a novel approach is proposed to identify abnormal occurrences in c...

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Vydané v:	Computers, materials & continua Ročník 72; číslo 1; s. 349 - 364
Hlavní autori:	Nishath, Sofia, S. Nithya Darisini, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 2022
Predmet:	Algorithms Anomalies Classifiers Computer simulation Data mining Deep learning Frames (data processing) Machine learning Multiple objective analysis Neural networks Optimization Optimization algorithms Surveillance Surveillance systems
ISSN:	1546-2226, 1546-2218, 1546-2226
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