Object Tracking in Visual Surveillance using Narrow Band-based Graph Cuts
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.
Object segmentation object tracking graph cuts narrow band
Liman Liu Wenbing Tao Jinwen Tian
Institute for Pattern Recognition and Artificial Intelligence and State Key Laboratory for Multispec Institute for Pattern Recognition and Artificial Intelligence and State Key Laboratory for Multispec
国际会议
桂林
英文
1-6
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）