A model update scheme of color-based particle filter for multi-color object tracking
Satoshi Hirose, Nozomu Hamada · 2012
Color-invariance property of objects is effectively employed for developing non-rigid object tracking algorithms in the field of computer vision. This paper develops a novel color-based tracking algorithm for non-rigid 3-D objects with multiple colors. Especially, the proposed particle filter method can track the targets even if the appearance /disappearance of color regions were occurred by self-occlusion and pose variation like self-rotation. The basic idea is closely related to the rules of proximity and common fate in grouping mechanism in human psychology, and a new model updating scheme is introduced. The effective results by the proposed method are obtained by comparing it with other color-based particle filters.