DocumentCode
1693182
Title
Kernel based multiple targets tracking
Author
Wang, Yongzhong ; Pan, Quan ; Liang, Yan
Author_Institution
Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2010
Firstpage
6114
Lastpage
6120
Abstract
In multiple targets tracking, the split, mergence or occlusion of objects will deteriorate the tracking performance, so a multiple targets tracking method based on kernel is proposed. Making use of the defined matching measurement rule, a matching matrix is constructed according to the detection results based on a Gaussian mixture model and the kernel-based tracking results, and then the spilt and merging operation is completed to realize tracking target initialization, deletion, split, merging and occlusion. The experimental results show that the proposed method can reliably track multiple targets under occlusion in real time.
Keywords
Gaussian processes; image matching; matrix algebra; target tracking; Gaussian mixture model; kernel based multiple targets tracking; matching matrix; matching measurement rule; spilt and merging operation; Automation; Educational institutions; Intelligent control; Kernel; Merging; Target tracking; Visualization; kernel-based tracking; merge; multiple targets; split;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554660
Filename
5554660
Link To Document