LSS target tracking algorithm based on optical flow detection and polynomial fitting relocation

Degui Yang; Liang Hu; Junchao Zhang; Dangjun Zhao; Xing Wang; Zhenghong Peng

doi:10.1117/12.2627201

27 March 2022 LSS target tracking algorithm based on optical flow detection and polynomial fitting relocation

Degui Yang, Liang Hu, Junchao Zhang, Dangjun Zhao, Xing Wang, Zhenghong Peng

Author Affiliations +

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169C9 (2022) https://doi.org/10.1117/12.2627201
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

It’s difficult to detect LSS(Low-Small-Slow) target because of its overturning, distortion during movement. Aiming at this problem, this paper proposes a LSS target tracking algorithm based on optical flow detection and polynomial fitting relocation. Firstly, target is detected by optical flow method, and then the SVM classifier trained with hog feature and color histogram feature is used to eliminate the false target. Then use TBD strategy to process the target information in the first three frames to confirm the initial location of the target. In follow-up tracking process, the obtained target information is compared with polynomial fitting results to determine whether to trigger the relocation mechanism. In relocation mechanism, the hot spot region will be generated according to the polynomial fitting results, and the salient features of the hot spot region will be extracted to determine the target location. Through the performance on the public data set LaSOT and the image sequence collected by the author, the algorithm in this paper is insensitive to the maneuver and distortion of LSS targets, and the tracking effect is stable. Under certain constraints, the tracking accuracy of the algorithm can reach more than 96%, which has strong application value.

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Degui Yang, Liang Hu, Junchao Zhang, Dangjun Zhao, Xing Wang, and Zhenghong Peng "LSS target tracking algorithm based on optical flow detection and polynomial fitting relocation", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169C9 (27 March 2022); https://doi.org/10.1117/12.2627201

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KEYWORDS

Detection and tracking algorithms

Target detection

Optical flow

Optical tracking

Image processing

Filtering (signal processing)

Distortion

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