Leveraging Deep Learning for Anomaly Detection in Video Surveillance

Author:

Kavikuil K.,Amudha J.

Publisher

Springer Singapore

Reference13 articles.

1. Dinesh Kumar Saini, Dikshika Ahir and Amit Ganatra.: Techniques and Challenges in Building Intelligent Systems: Anomaly Detection in Camera Surveillances’. Satapathy and S. Das (eds.), Springer International Publishing Switzerland 2016, Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2, Smart Innovation, Systems and Technologies (2016).

2. A. Krizhevsky, I. Sutskever, G. E. Hinton.: ImageNet classification with deep convolutional neural network: Advances Neural Information Processing Systems (2012).

3. R. Ramachandran, Rajeev, D. C., Krishnan, S. G., and Subathra P.: Deep learning – An overview: International Journal of Applied Engineering Research, vol. 10, pp. 25433–25448, (2015).

4. Da Zhang, Hamid Maei, Xin Wang, and Yuan-Fang Wang: Deep Reinforcement Learning for Visual Object Tracking in Videos, Department of Computer Science, University of California at Santa Barbara, Samsung Research America. (2017).

5. K. Nithin. D and Dr. Bhagavathi Sivakumar P.: Learning of Generic Vision Features Using Deep CNN: In 2015 Fifth International Conference on Advances in Computing and Communications (ICACC), Kochi, (2015).

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