An improved pedestrians detection algorithm using HOG and ViBe
文献类型：会议论文
| 作者 | Leng, Bin; He, Qing; Xiao, Hanzheng; Li, Baopu; Wang, Haibin; Hu, Youpan; Wu, Wenkai; Guan, Guan; Zou, Hehui; Liang, Lunfei |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 |
| 会议地点 | Shenzhen, PEOPLES R CHINA |
| 英文摘要 | The Pedestrian detection using Histograms of Oriented Gradients (HOG) is the most popular method to detect a human from a picture. However, it, calculates the HOG description, will cost too much time and can't meet the real-time request for detecting pedestrian from the video surveillance system. In this paper we present a novel algorithm for detecting a human from a video. Firstly, The improved approach of Vibe follows a new background model using the temporal information, and present a new post-processing method for expanding the outlines of the foreground objects and then extract the foreground objects zone. Secondly, calculating the HOG feature of the extracted zone, and then send into the SVM classifier which has been trained to judge where is pedestrian or not. The combination algorithm, the improved Vibe and the HOG pedestrian detection, can save the processing time and the simulation results show that the proposed algorithm, compared with the traditional pedestrian detection algorithm, can detect pedestrian more accuracy and efficiency and its optimization ability is stronger. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5313]  |
| 专题 | 深圳先进技术研究院_南沙所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Leng, Bin,He, Qing,Xiao, Hanzheng,et al. An improved pedestrians detection algorithm using HOG and ViBe[C]. 见:2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013. Shenzhen, PEOPLES R CHINA. |
入库方式： OAI收割
来源：深圳先进技术研究院
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