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

Weifeng Yin, Yusong Min, Junyong Zhai
2022 Machines  
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
more » ... es 95.79% of the mean Average Precision (mAP) on the vehicle search task, which meets the requirements of practical applications.
doi:10.3390/machines10090799 fatcat:watp4ytdgre3ta7cbzyqons5r4