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Colombari A, Fusiello A. Patch-based background initialization in heavily cluttered video. IEEE Trans Image Process. 2009;19(4):926-33doi: 10.1109/TIP.2009.2038652.
Colombari, A., & Fusiello, A. (2010). Patch-based background initialization in heavily cluttered video. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 19(4), 926-33. https://doi.org/10.1109/TIP.2009.2038652
Colombari, Andrea, and Fusiello, Andrea. "Patch-based background initialization in heavily cluttered video." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 19,4 (2010): 926-33. doi: https://doi.org/10.1109/TIP.2009.2038652
Colombari A, Fusiello A. Patch-based background initialization in heavily cluttered video. IEEE Trans Image Process. 2010 Apr;19(4):926-33. doi: 10.1109/TIP.2009.2038652. Epub 2009 Dec 15. PMID: 20007046.
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IEEE Trans Image Process. 2010 Apr;19(4):926-33. doi: 10.1109/TIP.2009.2038652. Epub 2009 Dec 15.

Patch-based background initialization in heavily cluttered video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Andrea Colombari, Andrea Fusiello

Affiliations

  1. eVS embedded Vision Systems S.r.l., Verona, Italy. [email protected]

PMID: 20007046 DOI: 10.1109/TIP.2009.2038652

Abstract

In this paper, we propose a patch-based technique for robust background initialization that exploits both spatial and temporal consistency of the static background. The proposed technique is able to cope with heavy clutter, i.e, foreground objects that stand still for a considerable portion of time. First, the sequence is subdivided in patches that are clustered along the time-line in order to narrow down the number of background candidates. Then, a tessellation is grown incrementally by selecting at each step the best continuation of the current background. The method rests on sound principles in all its stages and only few, intelligible parameters are needed. Experimental results show that the proposed algorithm is effective and compares favorably with existing techniques.

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