K Nearest Neighbor Joint Possibility Data Association Algorithm

• Published in: 2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
• Main Authors: Chen Song-lin, Xu Yi-bing, Zhu Ming
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2010
• Subjects: Clutter; Covariance matrix; Joints; Measurement uncertainty; Probabilistic logic; Target tracking; Time measurement

For the problem of tracking multiple targets, the Joint Probabilistic Data Association approach has shown to be very effective in handling clutter and missed detections. However, it tends to coalesce neighboring tracks and ignores the coupling between those tracks. To avoid track coalescence, a K Ne...