文献类型：会议论文

英文题名：Detecting and Tracking Volunteers in Expo Videos

作者：Liang, Jianning[1];Zhou, Yan[1]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China

会议论文集：International Conference on Information Technology and Applications (ITA)

会议日期：NOV 16-17, 2013

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

外文关键词：object detection; object tracking; expo volunteers; surveillance video

摘要：A method is introduced for detecting and tracking volunteers in expo surveillance videos. A detection box slides on the images from the videos from left to right and then from up to down. Since the volunteers wear the green clothes, only the patches of enough green pixels are passed for further processing. Then, three kinds of features i.e. RGB color features, SURF features and HOG features are extracted from the patches. These features are sent to a trained cascade boosting classifier to determine whether the patches are the volunteers. In the experiments, the proposed method demonstrates good performances on three videos.