A Pedestrian Detection Method Based on Binocular Stereo Vision
Date Issued
2012
Date
2012
Author(s)
Wang, Kai-Jun
Abstract
Pedestrian detection is always a popular research topic in the objective detection area due to transportation accident is one of the main causes of death in Taiwan. Hence, more vehicle companies are willing to accompany driving assistance system in their own products in order to increase the safety of driving. In addition, lane detection, vehicle detection, and pedestrian detection are significant research fields to allow safer driving.
Accuracy rate and real time processing are highly required in the pedestrian detection of driving assistance system, therefore, our essay suggests to use two CCD camera to build
stereo. Based on the depth information of stereo, we can divide foreground and background.Following, the obstacle of physical property of three-dimensional space are used to define and segment the region that we are interesting to capture the histogram of oriented gradient feature of pedestrian. Furthermore, through support vector machine classifier to verify the pedestrian image. Finally, we calculate the pedestrian distance by using the stereo of
triangular geometric relations. According to our experiments, this method is able to achieve a faster and more correct classify result. As well as a remarkable result in accuracy of distance estimation.
Subjects
stereo vision
pedestrian detection
support vector machine(SVM)
histogram of oriented gradients(HOG)
Type
thesis
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