Fast Estimation of Pedestrian Movement

被引：2

作者：

Kuo, Ying-Che ^{[1
]}

Tsai, Cheng-Tao ^{[1
]}

Chang, Chih-Hao ^{[1
]}

机构：

[1] Natl Chin Yi Univ Technol, Dept Elect Engn, 57,Sec 2,Zhongshan Rd, Taichung 41170, Taiwan

来源：

SENSORS AND MATERIALS | 2017年 / 29卷 / 06期

关键词：

pedestrian detection; Fisher classifier; Lucas-Kanade optical flow; DETECTION SYSTEM; PREDICTION; ASSISTANCE; FEATURES; TRACKING; CASCADE; DRIVER;

D O I：

10.18494/SAM.2017.1487

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

In this study, a single camera has been used to capture images of the road in front of a moving vehicle. Image processing algorithms identify the location of pedestrians in the images, calculate the direction and rate of movement of each one, and issue safety warnings. The pedestrian motion vector detection and warning system presented here has three components: The first serves to identify, locate, and mark the positions of pedestrians in images using the Fisher classifier. The follow-up image processing is confined to the labeled images, and this significantly reduces the image postprocessing load. The second component involves the calculation of pedestrian motion vectors using the Lucas-Kanade optical flow method. Finally, the vehicle's future zone of movement is established, and judgment is made as to whether any pedestrians will be in this zone or not. This is determined from the pedestrian movement vectors and a warning can be triggered to alert the driver in time for any necessary avoidance action to be taken. This can improve road safety and reduce the number of accidents involving pedestrians, which result from driver fatigue, negligence or careless driving, and the number of such accidents can be reduced.

引用

页码：713 / 726

页数：14

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