Precise tracking algorithm for small target based on event supervision

Yun Li; Tianxu Zhang

doi:10.1117/12.750568

15 November 2007 Precise tracking algorithm for small target based on event supervision

Yun Li, Tianxu Zhang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863U (2007) https://doi.org/10.1117/12.750568
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A precise tracking algorithm for small target based on event supervision is introduced in this paper. The target chains and object aggregation are established firstly, Tri-level scan filter contains grey intension filter, shape filter and location filter, is adopted to implement data relevancy between target chains and object aggregation from coarse to fine. Movement trend of object to tracking target which is classified into follow, approach and leaving, and events include envelop and combination are detected, supervised and processed. On the other hand, based on the analysis of the error model for target centroid estimation, a recursive approach method for target centroid calculation with high precision is adopted in the algorithm. It combines tracking, recognition and prediction effectively base on the tracking theory of human eyes. Experimental results show that the method is feasible and effective.

Citation Download Citation

Yun Li and Tianxu Zhang "Precise tracking algorithm for small target based on event supervision", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863U (15 November 2007); https://doi.org/10.1117/12.750568

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