DocumentCode
2591971
Title
Object Tracking with Dynamic Template Update and Occlusion Detec
Author
Latecki, Longin Jan ; Miezianko, Roland
Author_Institution
Dept. of CIS, Temple Univ., Philadelphia, PA
Volume
1
fYear
0
fDate
0-0 0
Firstpage
556
Lastpage
560
Abstract
The objective of this paper is to track moving objects using dynamic template initializations and updates, and to identify tracking events in videos such as occlusions and merging of motion regions. The proposed tracking method is based on spatiotemporal texture motion regions, image alignment, and minimum cost estimation based template selection. The dynamic template update is based on the detection of events in videos. The proposed method has been experimentally evaluated on color and thermal infrared videos
Keywords
image motion analysis; image sequences; object detection; dynamic template updates; image alignment; minimum cost estimation; moving object tracking; occlusion detection; spatiotemporal texture motion regions; template selection; Computational Intelligence Society; Computational efficiency; Costs; Measurement standards; Merging; Motion detection; Robustness; Spatiotemporal phenomena; Tracking; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.886
Filename
1698954
Link To Document