TY - GEN
T1 - Data association for target tracking by several passive sensors
AU - Li, Chen
AU - Su, Yuzhu
AU - Wang, Hong
AU - Han, Chongzhao
AU - Du, Xiaoning
PY - 2007
Y1 - 2007
N2 - In recent years, there has been considerable interest within the tracking community in the approach to data association based on the assignment algorithm. The focus of this paper is to describe a new dynamic S-D assignment algorithm. In the presence of clutter, missed detections, the new method incorporates the image intensity information into the dynamic assignment cost coefficient To reasonably utilize the special feature of IR sensors, the association becomes more accurate and, at mean time, the complexity of the algorithm has not obviously increased. The simulation results show that the proposed approach has better performance than traditional approaches.
AB - In recent years, there has been considerable interest within the tracking community in the approach to data association based on the assignment algorithm. The focus of this paper is to describe a new dynamic S-D assignment algorithm. In the presence of clutter, missed detections, the new method incorporates the image intensity information into the dynamic assignment cost coefficient To reasonably utilize the special feature of IR sensors, the association becomes more accurate and, at mean time, the complexity of the algorithm has not obviously increased. The simulation results show that the proposed approach has better performance than traditional approaches.
UR - https://www.scopus.com/pages/publications/40949165027
U2 - 10.1109/ICSMC.2007.4413806
DO - 10.1109/ICSMC.2007.4413806
M3 - 会议稿件
AN - SCOPUS:40949165027
SN - 1424409918
SN - 9781424409914
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3214
EP - 3219
BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Y2 - 7 October 2007 through 10 October 2007
ER -