Sparse Occlusion Detection with Optical Flow

Author:

Ayvaci Alper,Raptis Michalis,Soatto Stefano

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference49 articles.

1. Alvarez, L., Deriche, R., Papadopoulo, T., & Sánchez, J. (2007). Symmetrical dense optical flow estimation with occlusions detection. International Journal of Computer Vision, 75(3), 371–385.

2. Ayvaci, A., & Soatto, S. (2011). Efficient model selection for detachable object detection. In Proc. of energy minimization methods in computer vision and pattern recognition, July 2011.

3. Ayvaci, A., Raptis, M., & Soatto, S. (2010). Occlusion detection and motion estimation with convex optimization. In Advances in neural information processing systems.

4. Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M., & Szeliski, R. (2007). A database and evaluation methodology for optical flow. In Proc. of the international conference on computer vision (pp. 1–8).

5. Becker, S., Bobin, J., & Candes, E. (2009). Nesta: a fast and accurate first-order method for sparse recovery. Arxiv preprint arXiv, 904.

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