Title :
Spatio-temporal motion segmentation and tracking under realistic condition
Author :
Li, Li ; Zeng, Qingshuang ; Jiang, Yonglin ; Xia, Hongwei
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol.
Abstract :
Tracking technique is one of the most active research topics in the domain of computer vision currently, and motion analysis presents the essence of moving object tracking in video. This paper proposed a novel method for tracking based on spatio-temporal motion segmentation. First, successively layered moving object silhouettes encode system time termed the timed motion history image for motion trajectory representation. Then, a spatio-temporal segmentation procedure is used to labeling motion regions by estimating density gradient in spatial-temporal domain. Several examples are shown to illustrate that this solution has high effectiveness and robust nature, providing practical tools for moving object tracking in real time surveillance system
Keywords :
image segmentation; motion estimation; tracking; computer vision; density gradient; motion analysis; motion history image; motion tracking; motion trajectory representation; moving object silhouettes; moving object tracking; real time surveillance system; realistic condition; spatiotemporal motion segmentation; Computer vision; History; Image segmentation; Labeling; Motion analysis; Motion estimation; Motion segmentation; Real time systems; Robustness; Tracking;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
DOI :
10.1109/ISSCAA.2006.1627617
