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Proceedings Paper

Moving target tracking and fast searching method based on template matching
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Paper Abstract

Target tracking is an important research direction in the field of machine vision. How to quickly track the target position in the time-series images is a key issue that has been widely studied. The search method determines whether the best motion vector can be quickly found, it also has an important impact on the efficiency of the measurement. The paper proposes a fast template search method for multi-scale moving target tracking, which can achieve tracking and searching targets in dynamic scenes, and measures the moving distance of the target. Compared with full search algorithm and three-step search algorithm, the measurement method in this paper can reduce the number of searches on the basis of guaranteeing the measurement accuracy. The search algorithm can avoid trapping in local optimum. For the content of the research, a discrete sampling method is proposed to solve the problem of starting point and initial step setting of the three-step search algorithm.

Paper Details

Date Published: 13 November 2019
PDF: 7 pages
Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 1134317 (13 November 2019); doi: 10.1117/12.2548695
Show Author Affiliations
Yonghong Lin, Hunan Univ. of Science and Technology (China)
Xian Wang, Hunan Univ. of Science and Technology (China)
Jiahao Ou, Hunan Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 11343:
Ninth International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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