ORGANIZATION PRINCIPLES AND APPROACHES ANALYSIS TO IMPROVING THE PERSON RE-IDENTIFICATION ACCURACY IN DISTRIBUTED VIDEO SURVEILLANCE SYSTEMS
S. A. Ihnatsyeva · HERALD OF POLOTSK STATE UNIVERSITY Series С FUNDAMENTAL SCIENCES · 2022
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.