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Proceedings Paper

Group tracking using mathematical morphology and multiple clustering hypotheses
Author(s): Yu Li; Liu Yu
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Paper Abstract

Group tracking is to track groups of objects engaging in a common activity (formations), which is a challenging and significant problem for intelligent visual surveillance. It can develop an overall understanding in some applications. Also, information related to group behavior can be used to enhance the precision and reduce computational complexity for the estimate of individual target. In this paper a group initialization and tracking method is presented. Two stages are involved. First, groups are initialized by clustering detections of targets based on a mathematical morphological method. Second, the groups are tracked in terms of prediction, hypotheses, confirmation and deletion. Satisfactory results are shown when testing the algorithm on simulative sequences.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678639 (15 November 2007); doi: 10.1117/12.750011
Show Author Affiliations
Yu Li, National Univ. of Defense Technology (China)
Liu Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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