Research on video pedestrian re-identification algorithm based on spatio-temporal dynamic information extraction

Online veröffentlicht: 29. Nov. 2024

Eingereicht: 19. Juni 2024

Akzeptiert: 13. Okt. 2024

DOI: https://doi.org/10.2478/amns-2024-3671

Schlüsselwörter

BiLSTM, Spatio-temporal dynamic information, Feature extraction, Pedestrian re-identification, Video surveillance.

© 2024 Zhengcai Lu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.