Bayesian Feed Forward Neural Network-Based Efficient Anomaly Detection from Surveillance Videos

Author:

Murugesan M.,Thilagamani S.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference25 articles.

1. Real-world anomaly detection in surveillance videos;Sultani,2018

2. An on-line, real-time learning method for detecting anomalies in videos using spatio-temporal compositions;Roshtkhari;Computer Vision and Image Understanding,2013

3. Sparse representation for robust abnormality detection in crowded scenes;Zhu;Pattern Recognition,2014

4. Abnormal events detection based on spatio- temporal co-occurences;Benezeth,2009

5. Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates;Kim,2009

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