计量学报2016，Vol.37Issue(3)：241-245,5.DOI:10.3969/j.issn.1000-1158.2016.03.04
结合表观、运动和边缘结构信息的遮挡边界检测方法
OCClusion Boundary DeteCtion by Combining AppearanCe, Motion and Edge StruCture Cues in Video
摘要
Abstract
To detect the occlusion boundary in video sequences accurately,an occlusion boundary detection approach based on random forests classifier is proposed. Firstly,the edges of current frame in a video are segmented to obtain superpixels and superpixel edges,and then the superpixels edges are decomposed into short line fragments. Secondly,the occlusion related features of each line fragment are extracted by combining appearance,motion and edge structure cues and the extracted features are assembled to feature vector. After that,the feature vector of each line fragment is inputted to the occlusion boundary classifier to detect whether each line fragment is an occlusion boundary or not. Finally,the occlusion boundary of the current frame in a video is obtained by visualizing all the line fragments which belong to occlusion boundary. The experimental results show that the proposed approach has higher accuracy.关键词
计量学/遮挡边界/随机森林/视频序列/超像素/直线段/光流差异/边缘结构Key words
metrology/occlusion boundary/random forests/video sequences/superpixel/line fragment/optical flow difference/edge structure分类
通用工业技术引用本文复制引用
张世辉,张红桥,韩德伟..结合表观、运动和边缘结构信息的遮挡边界检测方法[J].计量学报,2016,37(3):241-245,5.基金项目
国家自然科学基金（61379065）；河北省自然科学基金 （）
