DocumentCode :
1748655
Title :
Occlusion robust adaptive template tracking
Author :
Nguyen, Hieu T. ; Worring, Marcel ; Van Den Boomgaard, Rein
Author_Institution :
Amsterdam Univ., Netherlands
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
678
Abstract :
We propose a new method for tracking rigid objects in image sequences using template matching. A Kalman filter is used to make the template adapt to changes in object orientation or illumination. This approach is novel since the Kalman filter has been used in tracking mainly for smoothing the object trajectory. The performance of the Kalman filter is further improved by employing a robust and adaptive filtering algorithm. Special attention is paid to occlusion handling
Keywords :
Kalman filters; image matching; image sequences; Kalman filter; illumination; image sequences; object orientation; object trajectory; occlusion handling; occlusion robust adaptive template tracking; rigid objects tracking; template matching; Image sequences; Information systems; Intelligent sensors; Intelligent systems; Kalman filters; Lighting; Object detection; Robust stability; Robustness; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
Type :
conf
DOI :
10.1109/ICCV.2001.937587
Filename :
937587
Link To Document :
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