Registration Number
2124U014658, Article
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Стаття
Title
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Kvyetnyy Roman
Kotsiubynskyi Volodymyr
Kyrylenko Oleksandr
Kolesnytskyj Oleg
Dumenko Viktoria
Kotyra Andrzej
Mussayeva Dinara
Abilkaiyr Nazerke
Квєтний Р. Н.
Коцюбинський В. Ю.
Колесницький О. К.
Кириленко О. М.
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17-01-2024
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Вінницький національний технічний університет
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http://ir.lib.vntu.edu.ua/handle/123456789/39044
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Society of Photo-Optical Instrumentation Engineers
Description
The study aims to explore a method for identifying corresponding objects across multiple camera views, to improve the accuracy of object re-identification. We analyzed various techniques, including contour detection, region of interest extraction, and keypoint extraction. We also examined the challenges of finding object correspondences between multiple camera views. To evaluate the effectiveness of the proposed method, we utilized two human attribute datasets, Market1501 and DukeMTMC-reID, and performed extensive testing on these datasets.
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2026-10-26
