Improving person re-identification based on two-stage training of convolutional neural networks and augmentation
Objectives. The main goal is to improve person re-identification accuracy in distributed video surveillance systems.Methods. Machine learning methods are applied.Result. A technology for two-stage training of convolutional neural networks (CNN) is presented, characterized by the use of image augment...
Saved in:
Main Authors: | S. A. Ihnatsyeva, R. P. Bohush |
---|---|
Format: | Article |
Language: | Russian |
Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2023-03-01
|
Series: | Informatika |
Subjects: | |
Online Access: | https://inf.grid.by/jour/article/view/1225 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor
by: S. A. Ihnatsyeva, et al.
Published: (2024-05-01) -
A Review on Person Re-Identification Techniques and Its Analysis
by: C. Selvan, et al.
Published: (2025-01-01) -
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
by: Jiachen Li, et al.
Published: (2025-01-01) -
TIBW: Task-Independent Backdoor Watermarking with Fine-Tuning Resilience for Pre-Trained Language Models
by: Weichuan Mo, et al.
Published: (2025-01-01) -
An Investigation of the Domain Gap in CLIP-Based Person Re-Identification
by: Andrea Asperti, et al.
Published: (2025-01-01)