An approach based on mean shift and KALMAN filter for target tracking under occlusion

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 2058 - 2062
• Main Authors: Jie Zhao, Wen Qiao, Guo-Zun Men
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Cybernetics; Economic forecasting; Educational institutions; Electronic mail; Feature extraction; Histograms; Kalman filter; Kalman filters; Kernel; Machine learning; Mean shift; Occlusion; Target tracking
• ISBN: 9781424437023; 1424437024
• ISSN: 2160-133X
• DOI: 10.1109/ICMLC.2009.5212129

This paper combines the mean shift algorithm with the Kalman filer for target tracking. First, the starting position of mean shift is found by the Kalman filter, then the mean shift uses it to track the object position. The occlusion problem is a difficult problem during target tracking. When severe...