A Vehicle Comparison and Re-Identification System Based on Residual Network

Autor: Weifeng Yin, Yusong Min, Junyong Zhai
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Machines, Vol 10, Iss 9, p 799 (2022)
Druh dokumentu: article
ISSN: 2075-1702
DOI: 10.3390/machines10090799
Popis: In the highway intelligent monitoring system, it is difficult to find the target vehicle through millions of pictures because of the presence of fake-licensed vehicles. In order to solve this problem, a vehicle comparison and re-identification (Re-ID) system is built in this paper. By introducing Circle loss and Generalized-Mean(GeM) pooling, vehicle feature extraction and storage, vehicle comparison and vehicle search can be realized. Experimental results show that the proposed algorithm reaches 95.79% of the mean Average Precision (mAP) on the vehicle search task, which meets the requirements of practical applications.
Databáze: Directory of Open Access Journals