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Snatch theft detection in unconstrained surveillance videos using action attribute modelling

  • Published:2018-06 Issue: Volume:108 Page:56-61
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Roy DebadityaORCID,C. Krishna Mohan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall;Bouma,2014

2. HMDB: a large video database for human motion recognition;Kuehne,2011

3. Multi-view super vector for action recognition;Cai,2014

4. Codebook enhancement of vlad representation for visual recognition;Wang,2016

5. Combining motion and appearance cues for anomaly detection;Zhang;Pattern Recognit.,2016

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