Organization Principles and Approaches Analysis to Improving the Person Re-identification Accuracy in Distributed Video Surveillance Systems
Year: 2022
Type: article
Abstract: The paper presents a classification of existing re-identification systems according to such criteria as system type, requests number and type, and operating time. The general scheme is discussed, which reflects the basic operation principle of re-identification systems, and the main approaches and methods for solving this problem using convolutional neural networks are considered. The study ways existing to improve re-identification algorithms and systems accuracy has been carried out. The influence analysis hyperparameters choice in convolutional neural networks training on the efficiency and dynamics re-identification algorithm training is carried out.
Author: S. IHNATSYEVA
Institution: Euphrosyne Polotskaya State University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4281920458