Title :
Modified Mean-Shift for head tracking
Author :
Lee, Daeha ; Kim, Jaehong ; Sohn, Joochan
Author_Institution :
Robot/Coition Syst. Res. Dept., ETRI, Daejeon, South Korea
Abstract :
Mean-Shift algorithm has been applied mode seeking, image segmentation and object tracking. It is famous for fast convergence within limited boundary. But once exit that boundary, it fails to find correct region and position. We applied mean-shift algorithm in object tracking, and we suggest modified mean-shift tracking method. Using this modified version, we can track object without failing.
Keywords :
image segmentation; iterative methods; object tracking; head tracking; image segmentation; iterative procedure; mode seeking; modified mean-shift tracking method; object tracking; Mean shift; Mean shift tracking; object detection; object tracking;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6146040