Extended target correlation tracking algorithm based on moment invariants in complex environment

Kunhua Zhang; Jingru Wang; Qiheng Zhang

doi:10.1117/12.441625

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24 September 2001 Extended target correlation tracking algorithm based on moment invariants in complex environment

Kunhua Zhang, Jingru Wang, Qiheng Zhang

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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441625
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

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Kunhua Zhang, Jingru Wang, and Qiheng Zhang "Extended target correlation tracking algorithm based on moment invariants in complex environment", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441625

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