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A Vehicle Comparison and Re-Identification System Based on Residual Network
2022
Machines
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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
doi:10.3390/machines10090799
fatcat:watp4ytdgre3ta7cbzyqons5r4