Automatic Fight Detection in Surveillance Videos
Author:
Affiliation:
1. Department of Computing, The Hong Kong Polytechnic University, Hong Kong
Funder
Hong Kong Research Grant Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3007120.3007129
Reference32 articles.
1. The BEHAVE video dataset: ground truthed video for multi-person behavior classification;Blunsden S.;Annals of BMVA,2010
2. M. Chen and A. Hauptmann. MoSIFT: Recognizing Human Actions in Surveillance Videos. Informedia@TRECVID pp. 1--16 2009. M. Chen and A. Hauptmann. MoSIFT: Recognizing Human Actions in Surveillance Videos. Informedia@TRECVID pp. 1--16 2009.
3. Semantic context detection based on hierarchical audio models
4. A Survey of General-Purpose Crowdsourcing Techniques
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