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