Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes
Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes
复制标题
构建行人轮廓层次结构以改进交通场景中的检测
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
S. Nedevschi
中科院分区：
文献类型：
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作者：
Ion Giosan;S. Nedevschi
本文提出了一种利用立体视觉采集系统获得的二维和三维信息提取行人轮廓的新方法。两个行人轮廓类型提取。首先是从静态行人的信心图像，使用固定的背景场景和一般的交通场景具有可变的背景。然后提出了一种鲁棒的方法来建立这些轮廓的轮廓层次。第一层次是由从固定背景场景中提取的“完美”轮廓构成的，第二层次是由从具有可变背景的图像中提取的“不完美”轮廓构成的。我们的目标是评估这两个层次，以确定最好的一个真实的时间行人检测。
This paper presents a new method for extracting pedestrian contours from images using 2D and 3D information obtained from a stereo-vision acquisition system. Two pedestrian contour types are extracted. First is obtained from static pedestrian confidence images using fixed background scenes and second from general traffic scenes having variable background. A robust approach for building contour hierarchies of these contours is then presented. First hierarchy is built of "perfect" contours extracted from fixed background scenes and the second one is built of "imperfect" contours extracted from images with variable background. The objective is to evaluate the two hierarchies in order to identify the best one for real time pedestrian detection.