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Proceedings Paper

A multiple object tracking and detection algorithm using PMHT and FCM
Author(s): Wen-jun Shi; Shang-qing Shi; Deng-wei Wang
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Paper Abstract

An efficient algorithm based on PMHT and FCM is presented to track and detect the infrared multiple targets from the sequences of IR. Candidate targets can be obtained and saved by preprocessing IR data, and the true target can be detected from the above candidate targets through tracking those targets by PMHT algorithm and prior knowledge. Data association and target detection can be realized by FCM. At the same time, target' disappearing and new targets' emerging phenomena occasionally arise during target tracking. This problem can be solved by 'memorizing and filling'. The proposed approach is validated using actual infrared image sequences. Experiment results indicate high performance of the proposed method.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950H (30 October 2009); doi: 10.1117/12.828533
Show Author Affiliations
Wen-jun Shi, Naval Aeronautical and Astronautical Univ. (China)
Shang-qing Shi, Air Force Radar Academy (China)
Deng-wei Wang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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