Title :
Estimation of the Pedestrians on a Crosswalk
Author :
Lin, Sheng-Fuu ; Lin, Chi-De
Author_Institution :
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu
Abstract :
The estimation of the pedestrians on a crosswalk is a challenging job due to the occluded pedestrians and its complicated background. Here, an efficient method to estimate approximately the number of pedestrians on a crosswalk is presented. Foregrounds are extracted from an incoming image by using the constructed background, and then elaborately processing to remove unwanted pixels. With the aid of perspective transformation, the relation between the number of remaining foreground pixels and the number of pedestrians can be linearized, thus the estimation can be done. Instead of segmenting each pedestrian in the scene, our system counts foreground pixels, so it demands low computational power. Furthermore, this system doesn´t need to be trained. The experimental results show that it works well in different scenes
Keywords :
automated highways; computer vision; feature extraction; image colour analysis; image segmentation; road traffic; road vehicles; computer vision; crosswalk; foreground extraction; image colour analysis; image segmentation; pedestrian estimation; Calibration; Cameras; Data mining; Flowcharts; Intelligent transportation systems; Layout; Monitoring; Pixel; Support vector machine classification; Support vector machines;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314851