TY - GEN
T1 - Predictive estimation method to track occluded multiple objects using joint probabilistic data association filter
AU - Lee, Heungkyu
AU - Ko, Hanseok
PY - 2005
Y1 - 2005
N2 - In multi-target visual tracking, tracking failure due to miss-association can often arise from the presence of occlusions between targets. To cope with this problem, we propose the predictive estimation method that iterates occlusion prediction and occlusion status update using occlusion activity detection by utilizing joint probabilistic data association filter in order to track each target before, during and after occlusion. First, the tracking system predicts the position of a target, and occlusion activity detection is performed at the predicted position to examine if an occlusion activity is enabled. Second, the tracking system re-computes positions of occluded targets and updates them if an occlusion activity is enabled. Robustness of multi-target tracking using predictive estimation method is demonstrated with representative simulations.
AB - In multi-target visual tracking, tracking failure due to miss-association can often arise from the presence of occlusions between targets. To cope with this problem, we propose the predictive estimation method that iterates occlusion prediction and occlusion status update using occlusion activity detection by utilizing joint probabilistic data association filter in order to track each target before, during and after occlusion. First, the tracking system predicts the position of a target, and occlusion activity detection is performed at the predicted position to examine if an occlusion activity is enabled. Second, the tracking system re-computes positions of occluded targets and updates them if an occlusion activity is enabled. Robustness of multi-target tracking using predictive estimation method is demonstrated with representative simulations.
UR - http://www.scopus.com/inward/record.url?scp=33646015643&partnerID=8YFLogxK
U2 - 10.1007/11559573_104
DO - 10.1007/11559573_104
M3 - Conference contribution
AN - SCOPUS:33646015643
SN - 3540290699
SN - 9783540290698
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 852
EP - 860
BT - Image Analysis and Recognition - Second International Conference, ICIAR 2005, Proceedings
PB - Springer Verlag
T2 - 2nd International Conference on Image Analysis and Recognition, ICIAR 2005
Y2 - 28 September 2005 through 30 September 2005
ER -