Acknowledgements
We would like to thank Prof. Piya Pal for offering this unique course and that let us explore this relatively new field.
The team members for this project were Rajeev Ranjan and Sayantan Sarkar. This is a list of our division of labour
References
1. H. Jiang, W. Deng and Z. Shen, “Surveillance video processing using compressive sensing”, Inverse Problems and Imaging, vol 6, no 2, pp 201 - 214, 2012.
2. Z. Gao, L. Cheong, and M. Shan. Block-sparse RPCA for consistent foreground detection. In Proceedings of the European Conference on Computer Vision, 2012.
3. A. Waters, A. Sankaranarayanan, and R. Baraniuk. Sparcs: Recovering low-rank and sparse matrices from compressive measurements. In Proc. Neural Information Processing Systems (NIPS), 2011.
4. E. Candes, X. Li, Y. Ma, and J. Wright. Robust principal component analysis. 2009. http://www-stat.stanford.edu/~candes/papers/RobustPCA.pdf
5. E. Elhamifar and R. Vidal Sparse Subspace Clustering: Algorithm, Theory, and Applications IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013
6. P. Favaro, R. Vidal, and A. Ravichandran. A Closed Form Solution to Robust Subspace Estimation and Clustering. IEEE Conference on Computer Vision and Pattern Recognition, 2011
7. UCSD Anomaly Detection Dataset: http://www.svcl.ucsd.edu/projects/anomaly/dataset.htm