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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers, materials & continua Jg. 72; H. 1; S. 349 - 364
Hauptverfasser:	Nishath, Sofia, S. Nithya Darisini, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2022
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!