Object tracking in visual surveillance using narrow band-based graph cuts

Liman Liu; Wenbing Tao; Jinwen Tian

doi:10.1117/12.902063

2 December 2011 Object tracking in visual surveillance using narrow band-based graph cuts

Liman Liu, Wenbing Tao, Jinwen Tian

Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80040Z (2011) https://doi.org/10.1117/12.902063
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Graph Cut have been proposed. However, because of its globally optimal nature, it is prone to capture outlying areas similar to the object of interest. Constraint was introduced to confine the standard graph cut technique in many methods. In this paper, narrow band is introduced to constrain the standard graph cut where it is build on. With the narrow band constraint, segmentation is ensured to remain in it, which is useful when the result is not robust using standard graph cut. Secondly, Graph Cut is built based on the band region, compared with traditionally method, calculation cost is reduced. Thirdly, formulations are adjusted to distinguish between different parts of the narrow band, which improve the segmentation quality.

Citation Download Citation

Liman Liu, Wenbing Tao, and Jinwen Tian "Object tracking in visual surveillance using narrow band-based graph cuts", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80040Z (2 December 2011); https://doi.org/10.1117/12.902063

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