An improved tiny-yolov3 pedestrian detection algorithm

被引：165
作者：
Zhang, Yi [1 ]
Shen, Yongliang [1 ]
Zhang, Jun [1 ]
机构：
[1] Heilongjiang Univ, Coll Elect Engn, Harbin 150080, Heilongjiang, Peoples R China
来源：
OPTIK | 2019年 / 183卷
关键词：
Pedestrian detection; Real-time; k-means; tiny-yolov3;
D O I：
10.1016/j.ijleo.2019.02.038
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The existing real-time pedestrian detection method often loses part of the detection accuracy. For this reason, we proposed a real-time pedestrian detection algorithm based on tiny-yolov3. The proposed method uses K-means clustering on our training set to find the best priors. We improved the network structure of tiny-yolov3 to make it more accurate in pedestrian detection. From the experimental results, the proposed method has higher detection accuracy under the premise of satisfying real-time performance.
引用
收藏
页码：17 / 23
页数：7
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