Using multiple optical cameras for correspondence identification between objects in the fields of view

Roman Kvyetnyy; Volodymyr Kotsiubynskyi; Oleksandr Kyrylenko; Oleg Kolesnytskyj; Viktoria Dumenko; Andrzej Kotyra; Dinara Mussayeva; Nazerke Abilkaiyr

doi:10.1117/12.3022791

20 December 2023 Using multiple optical cameras for correspondence identification between objects in the fields of view

Roman Kvyetnyy, Volodymyr Kotsiubynskyi, Oleksandr Kyrylenko, Oleg Kolesnytskyj, Viktoria Dumenko, Andrzej Kotyra, Dinara Mussayeva, Nazerke Abilkaiyr

Author Affiliations +

Proceedings Volume 12985, Optical Fibers and Their Applications 2023; 129850A (2023) https://doi.org/10.1117/12.3022791
Event: Optical Fibers and Their Applications 2023, 2023, Lublin, Poland

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, Market-1501 and DukeMTMC-reID, and performed extensive testing on these datasets.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Roman Kvyetnyy, Volodymyr Kotsiubynskyi, Oleksandr Kyrylenko, Oleg Kolesnytskyj, Viktoria Dumenko, Andrzej Kotyra, Dinara Mussayeva, and Nazerke Abilkaiyr "Using multiple optical cameras for correspondence identification between objects in the fields of view", Proc. SPIE 12985, Optical Fibers and Their Applications 2023, 129850A (20 December 2023); https://doi.org/10.1117/12.3022791

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