A Multi-Scale Spatio-Temporal Network for Violence Behavior Detection
Author:
Affiliation:
1. School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China
2. Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
Funder
Cooperation Project between Chongqing Municipal Undergraduate Universities and Institutes affiliated to the Chinese Academy of Sciences
Science and Technology Research Program of Chongqing Municipal Education Commission
Open Foundation of the Chongqing Key Laboratory for Oil and Gas Production Safety and Risk Control
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/8423754/10124455/10004701.pdf?arnumber=10004701
Reference50 articles.
1. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
2. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
3. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
4. RWF-2000: An Open Large Scale Video Database for Violence Detection
5. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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