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Autocorrelation of gradients based violence detection in surveillance videos

  • Published:2020-09 Issue:3 Volume:6 Page:155-159
  • ISSN:2405-9595
  • Container-title:ICT Express
  • language:en
  • Short-container-title:ICT Express

Author:

K. Deepak,L.K.P. Vignesh,S. Chandrakala

Funder

Council of Scientific and Industrial Research

Cognitive Science Research Initiative

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference9 articles.

1. Evaluation of low-level features for real-world surveillance event detection;Xian;IEEE Trans. Circuits Syst. Video Technol.,2017

2. Motion recognition using local auto-correlation of space-time gradients;Kobayashi;Pattern Recognit. Lett.,2012

3. Violent flows: Real-time detection of violent crowd behavior;Hassner,2012

4. Video classification with Densely extracted HOG/HOF/MBH features: an evaluation of the accuracy/computational efficiency trade-off;Uijlings;Int. J. Multimedia Inf. Retr.,2015

5. Discriminative dictionary learning with motion weber local descriptor for violence detection;Zhang;IEEE Trans. Circuits Syst. Video Technol.,2017

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