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Title: Violence Detection using 3D Convolutional Neural Networks
Accurate detection of abnormal behavior can help improve public safety. In this work, a 3D convolutional neural network (CNN) is implemented to detect violence captured by surveillance cameras. A comprehensive study of model hyper-parameter tuning is addressed to show competitive violence detection results using a general action recognition CNN without modifying the original architecture. Experimental results on three publicly available benchmark datasets show that the proposed method outperforms other sophisticated techniques designed specifically to detect violence in videos. Our analysis further indicates that reasonable network parameter adjustments can be an effective mechanism to guide the design of computer vision models in abnormal human behavior detection.  more » « less
Award ID(s):
1952102
NSF-PAR ID:
10392017
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
IEEE International Conference on Advanced Video and Signal Based Surveillance
ISSN:
2643-6213
Page Range / eLocation ID:
8 pages
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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