Real-time Pedestrian Detection Based on Edge Factor and Histogram of Oriented Gradient
文献类型：会议论文
| 作者 | Guoqing Xu; Xiaocui Wu; Li Liu; Zhengbin Wu |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Information and Automation |
| 会议地点 | Shenzhen, China |
| 英文摘要 | This paper reports a real-time coarse-to-fine pedestrian detection method which is based on edge factor and Histogram ofOriented Gradient (HOG). In this method, first, the edge factor of detect window is used in the coarse detection, and then HOG combined with linear SVM (HOG/linSVM) is used in fine detection. The HOG/linSVM is one of the most popular video basedpedestrian detection methods, which has advantage in high resolution images but low processing speed. To overcome this problem, a simple and run fast algorithm is developed-the edge factor, which is the normalized edge number. The edge factorcan distinguish pedestrians from some uniform background. Edge factor is used in coarse detection to filter out some edgeless sub-windows; the fine detection which HOG/linSVM is used to do final detection on windows that has passed coarse detection. Owing to some sub-window has be eliminated by the coarse detection, the processing time of fine detection can be shortened greatly and so that the whole detection speed is improved. In addition, preprocessing such as image zooming, extract region ofinterest have be used for further acceleration of the detection process. Experiments show that our method has good performance and greatly improved the detection speed especially in videos of simple environment. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3318]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Guoqing Xu,Xiaocui Wu,Li Liu,et al. Real-time Pedestrian Detection Based on Edge Factor and Histogram of Oriented Gradient[C]. 见:2011 International Conference on Information and Automation. Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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