TY - GEN
T1 - Global space-time association for Probability Hypothesis Density filter
AU - Shi, Xi
AU - Yang, Feng
AU - Liang, Yan
AU - Pan, Quan
AU - Wang, Yongqi
PY - 2013
Y1 - 2013
N2 - The Probability Hypothesis Density (PHD) method can handle multi-target tracking problem, but it needs a specific association method to extract the target tracks. Up to now, such association methods are limited in the scope of temporal association, for example, the track labeling method. In this paper, we present the concept of the consistency measure between any two local peaks at the adjacent two time instants by using both spatial structure information and temporal evolution information. Furthermore, the global-space-time association is proposed through extracting the tracks one-by-one based on the consistency measure and three rules. The proposed method is testified via a simulation comparison with the track labeling method.
AB - The Probability Hypothesis Density (PHD) method can handle multi-target tracking problem, but it needs a specific association method to extract the target tracks. Up to now, such association methods are limited in the scope of temporal association, for example, the track labeling method. In this paper, we present the concept of the consistency measure between any two local peaks at the adjacent two time instants by using both spatial structure information and temporal evolution information. Furthermore, the global-space-time association is proposed through extracting the tracks one-by-one based on the consistency measure and three rules. The proposed method is testified via a simulation comparison with the track labeling method.
KW - consistency
KW - global-space-time association
KW - Probability Hypothesis Density (PHD)
KW - spatial structure information
KW - the track labeling method
UR - http://www.scopus.com/inward/record.url?scp=84890817002&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:84890817002
SN - 9786058631113
T3 - Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
SP - 304
EP - 311
BT - Proceedings of the 16th International Conference on Information Fusion, FUSION 2013
T2 - 16th International Conference of Information Fusion, FUSION 2013
Y2 - 9 July 2013 through 12 July 2013
ER -