TY - GEN
T1 - Kernel based multiple targets tracking
AU - Wang, Yongzhong
AU - Pan, Quan
AU - Liang, Yan
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Kernel-based tracking
KW - Merge
KW - Multiple targets
KW - Split
UR - https://www.scopus.com/pages/publications/77958123132
U2 - 10.1109/WCICA.2010.5554660
DO - 10.1109/WCICA.2010.5554660
M3 - 会议稿件
AN - SCOPUS:77958123132
SN - 9781424467129
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 6114
EP - 6120
BT - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
T2 - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Y2 - 7 July 2010 through 9 July 2010
ER -