Distributed Sensing and Processing for Multi-Camera Networks

Author:

Sankaranarayanan Aswin C.,Chellappa Rama,Baraniuk Richard G.

Publisher

Springer London

Reference31 articles.

1. Aghajan, H., Cavallaro, A.: Multi-Camera Networks: Concepts and Applications. Elsevier, Amsterdam (2008)

2. Lv, T., Ozer, B., Wolf, W.: A real-time background subtraction method with camera motion compensation. In: Proceedings of IEEE International Conference on Multimedia and Expo, vol. 1, pp. 331–334 (2004)

3. Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.S.: Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proc. IEEE 90(7), 1151–1163 (2002)

4. Khan, S.M., Shah, M.: A multi-view approach to tracking people in crowded scenes using a planar homography constraint. In: European Conference on Computer Vision, vol. 4, 133–146 (2006)

5. Kim, K., Davis, L.S.: Multi-camera tracking and segmentation of occluded people on ground plane using search-guided particle filtering. In: Proceedings of European Conference on Computer Vision, vol. 3, pp. 98–109 (2006)

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1. Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge;2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2017-07

2. Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks;International Journal of Distributed Sensor Networks;2015-09-01

3. An Empirical Model of Multiview Video Coding Efficiency for Wireless Multimedia Sensor Networks;IEEE Transactions on Multimedia;2013-12

4. Object tracking in the presence of occlusions using multiple cameras;ACM Transactions on Sensor Networks;2013-03

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