A Vehicle Recognition Method Based on Multi-Camera Information

被引:0
|
作者
Zhou, ChunYue [1 ]
Fan, TianYue [1 ]
机构
[1] Beijingjiaotong Univ, Coll Elect Informat Engn, Beijing, Peoples R China
关键词
Deep Learning; Fine-grained identification; vehicle recognition;
D O I
10.23919/chicc.2019.8865148
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Disadvantages of the single-camera-based vehicle identification method include insensitivity to vehicle angle information, vulnerability to occlusion and limited viewing angle of a single camera. In order to solve the above problems, a multi-camera based vehicle identification method is proposed, which detects the vehicle objects in the multi-camera, binds the object bounding box belonging to the same vehicle, and distinguish the vehicle by using the fine-grained identification network combined with the multi-camera information fusion method, Solved the problem of shooting dead ends, insufficient vehicle angle information and occlusion. Experiments show that the proposed method can achieve better recognition accuracy than the single camera recognition method.
引用
收藏
页码:7835 / 7839
页数:5
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