Deep rectified system for high-speed tracking in images

Author:

Mohan Vysakh S.1,Vinayakumar R.1,Sowmya V.1,Soman K.P.1

Affiliation:

1. Centre for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Viswa Vidyapeetham, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

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2. Deep residual learning for image recognition;He;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

3. Kendall A. , Badrinarayanan V. , Cipolla R. Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding, 2015. arXiv preprint arXiv:1511.02680.

4. A general framework for object detection. In;Papageorgiou;Computer Vision, 1998 Sixth International Conference on, IEEE,1998

5. Faster R-CNN: Towards real-time object detection with region proposal networks;Ren;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

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