作　　者： ; ; ; ;

机构地区： 宁波大学信息科学与工程学院

出　　处： 《软件学报》 2012年第2期299-309,共11页

摘　　要： 提出一种结合运动信息与表观特征的行人检测方法.在对通过表观检测子获得的候选检测窗口执行分割验证的框架中,将运动信息融入到基于图像序列的对象分割算法中,通过获取更准确的分割结果来提高对候选检测窗口的检测准确率.该方法利用运动信息更新运动对象的前景/背景分布模型,将颜色信息间接地融入行人检测中,并通过形状特征表现出来,与行人表观检测子形成互补的特性,获得更好的检测结果.上述结论在CAVIAR视频以及行人检测视频中得到了实验验证. This paper proposes a method of pedestrian detection that takes both motion information and appearance features into account. This could be done by integrating motion information into .the segmentation algorithm in the framework, which performs the validation of segmentation on candidate detection windows obtained by the appearance detector. The paper considers that better segmentation results can raise the detection i accuracy. Shape features^are obtained by integrating color information indirectly into pedestrian detection by using motion information to model foreground/background distribution of moving object. Better detection performance benefits from the complementary advantages between shape features and pedestrian appearance detector. The claim is supported by these experiments based on CAVIAR and the test video with pedestrians.

关 键 词： 行人检测 形状先验 运动信息 图割

领　　域： [自动化与计算机技术] [自动化与计算机技术]