Re-identification of people in a video stream based on a Kalman filter

Roman Kvyetnyy; Volodymyr Kotsiubynskyi; Oleksandr Kyrylenko; Mariya Baraban; Natalia Sachaniuk-Kavets’ka; Iryna Prychepa; Konrad Gromaszek; Gulzhan Kashaganova

doi:10.1117/12.3058549

16 December 2024 Re-identification of people in a video stream based on a Kalman filter

Roman Kvyetnyy, Volodymyr Kotsiubynskyi, Oleksandr Kyrylenko, Mariya Baraban, Natalia Sachaniuk-Kavets’ka, Iryna Prychepa, Konrad Gromaszek, Gulzhan Kashaganova

Author Affiliations +

Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000R (2024) https://doi.org/10.1117/12.3058549
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland

Abstract

This article illustrates the application of the Kalman filter in real-time human re-identification tasks to improve accuracy, reliability, and reduce computational costs while determining a person's position and orientation. The use of the Kalman filter addresses noise filtering and prediction issues in human re-identification tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Roman Kvyetnyy, Volodymyr Kotsiubynskyi, Oleksandr Kyrylenko, Mariya Baraban, Natalia Sachaniuk-Kavets’ka, Iryna Prychepa, Konrad Gromaszek, and Gulzhan Kashaganova "Re-identification of people in a video stream based on a Kalman filter", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000R (16 December 2024); https://doi.org/10.1117/12.3058549

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