Violence detection in videos for an intelligent surveillance system using MoBSIFT and movement filtering algorithm-Reference-Cited by-同舟云学术

Violence detection in videos for an intelligent surveillance system using MoBSIFT and movement filtering algorithm

Published:2019-05-04 Issue:2 Volume:23 Page:611-623
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Febin I. P.,Jayasree K.,Joy Preetha Theresa

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-019-00821-3.pdf

Reference36 articles.

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2. Deniz O, Serrano I, Bueno G, Tae-Tyun K (2014) Fast violence detection in video. In: VISAPP 2014  proceedings of the 9th international conference on computer vision theory and applications, pp 478–485

3. Bermejo E, Deni O, Bueno G, Sukthankar R. (2011) Violence detection in video using computer vision techniques. In: Proceedings of the 14th international conference on computer analysis of images and patterns. Springer, pp 332–339

4. Ke S-R, Thuc H, Lee Y-J et al (2013) A review on video-based human activity recognition. Computers 2:88–131. https://doi.org/10.3390/computers2020088

5. Chen M, Hauptmann A (2009) MoSIFT: recognizing human actions in surveillance videos. Technical report, Carnegie Mellon University, Pittsburgh, USA

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