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13 November 2019 Moving target tracking and fast searching method based on template matching
Yonghong Lin, Xian Wang, Jiahao Ou
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Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 1134317 (2019) https://doi.org/10.1117/12.2548695
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China
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.
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Yonghong Lin, Xian Wang, and Jiahao Ou "Moving target tracking and fast searching method based on template matching", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 1134317 (13 November 2019); https://doi.org/10.1117/12.2548695
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KEYWORDS
Detection and tracking algorithms
Target detection
Data centers
Motion measurement
Distance measurement
Machine vision
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