Title :
Joint Registration and Active Contour Segmentation for Object Tracking
Author :
Jifeng Ning ; Lei Zhang ; Zhang, Dejing ; Wei Yu
Author_Institution :
Coll. of Inf. Eng., Northwest A&F Univ., Yangling, China
Abstract :
This paper presents a novel object tracking framework by joint registration and active contour segmentation (JRACS), which can robustly deal with the non-rigid shape changes of the target. The target region, which includes both foreground and background pixels, is implicitly represented by a level set. A Bhattacharyya similarity based metric is proposed to locate the region whose foreground and background distributions best match those of the tracked target. Based on this metric, a tracking framework that consists of a registration stage and a segmentation stage is then established. The registration step roughly locates the target object by modeling its motion as an affine transformation, and the segmentation step refines the registration result and computes the true contour of the target. The robust tracking performance of the proposed JRACS method is demonstrated by real video sequences where the objects have clear non-rigid shape changes.
Keywords :
affine transforms; image registration; image segmentation; image sequences; object tracking; target tracking; Bhattacharyya similarity based metric; JRACS; affine transformation; background distribution pixel; foreground distribution pixel; joint registration and active contour segmentation; object tracking framework; target tracking; video sequence; Active contour model; level set; object tracking; registration; segmentation;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2013.2254931