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Proceedings Paper

Extended target correlation tracking algorithm based on moment invariants in complex environment
Author(s): Kunhua Zhang; Jingru Wang; Qiheng Zhang
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Paper Abstract

A new correlation algorithm for tracking extended target in complex environment is proposed in this per. The moment invariants are chosen as the tracking feature since the size, shape and orientation of the extended target would change distinctly during movement. The improved dynamic threshold segmentation is introduced to remove edges of the background within the tracking window. Then we calculate the moment invariants based on edge region of the local target, through which the computation quality is reduced drastically. Based on these moment invariants, a new fast correlation algorithm is proposed, in which the multistage and subsample are adopted to improve the matching efficiency. Experimental results indicated the validity and stability of our algorithm for tracking the extended target in the conditions of complex environment, high noise, rotation and size variance.

Paper Details

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441625
Show Author Affiliations
Kunhua Zhang, Institute of Optics and Electronics (China)
Jingru Wang, Institute of Optics and Electronics (China)
Qiheng Zhang, Institute of Optics and Electronics (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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