Group tracking using mathematical morphology and multiple clustering hypotheses

Yu Li; Liu Yu

doi:10.1117/12.750011

15 November 2007 Group tracking using mathematical morphology and multiple clustering hypotheses

Yu Li, Liu Yu

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678639 (2007) https://doi.org/10.1117/12.750011
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Yu Li and Liu Yu "Group tracking using mathematical morphology and multiple clustering hypotheses", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678639 (15 November 2007); https://doi.org/10.1117/12.750011

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