Using multiple optical cameras for correspondence identification between objects in the fields of view
Author
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.
Date
2024Metadata
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- Наукові роботи каф. АІІТ [254]
Abstract
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.
Please use this identifier to cite or link to this item:
http://ir.lib.vntu.edu.ua//handle/123456789/39044