Title :
Tracking of moving object based on optical flow detection
Author :
Chen, Zhiwen ; Cao, Jianzhong ; Tang, Yao ; Tang, Linao
Author_Institution :
Xi´´an Inst. of Opt. & Precision Mech., Xi´´an, China
Abstract :
Object tracking is one of the most important fields in computer vision and image processing community. In this paper, a novel method for tracking of moving object is proposed. We analyze many methods which are used to segment the Video Object (VO). Then we propose a way, which is based on optical flow, to track object by using the object contour. This algorithm achieves the effective object tracking in spatial position. The experiment result shows that moving object tracking is accurate, rapid and stable by using this algorithm.
Keywords :
image segmentation; image sequences; object tracking; video signal processing; computer vision; image processing; moving object tracking; object contour; optical flow detection; spatial position; video object segmentation; Adaptive optics; Computer vision; Feature extraction; Image motion analysis; Image segmentation; Optical filters; Optical imaging; Moving object; Object tracking; Optical flow; Video Object;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182151
