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Jingwen Bao

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Proceedings Article | 13 January 2023 Paper

Study of spatial invariance methods for multi-target individual recognition

Jingwen Bao, Meian Li, Tian Gao

Proceedings Volume 12509, 125090O (2023) https://doi.org/10.1117/12.2655844

KEYWORDS: Cameras, Target recognition, Visual process modeling, Imaging systems, Calibration, Agriculture, Ranging, Molybdenum, Image segmentation, Image processing

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Livestock modernization is the front-runner and wind vane of agricultural modernization. Smart animal husbandry for living individuals such as sheep has been widely researched and practiced as a typical application solution of smart agriculture. How to accurately identify different individuals in the same kind of target in the shortest possible time is one of the key problems facing the field of visual recognition and matching at present. In this study, a spatial invariance method is proposed to match multi-target individuals. In the paper, the set of line segments is taken as the unique feature of the target, and a threshold is proposed as the criterion to judge the difference between targets. Experiments show that the accuracy of line segment measurement can reach 99.00% on average; the recognition accuracy reaches 100% when the difference between target individuals is large. The method in this paper has some research significance for the identification of clustered cattle and sheep individuals in smart farming and animal husbandry.

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