文献类型：期刊文献

英文题名：Detecting and tracking volunteers in expo videos

作者：Liang, Jianning[1]; Zhou, Yan[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2013

起止页码：100

外文期刊名：Proceedings - 2013 International Conference on Information Technology and Applications, ITA 2013

收录：EI(收录号：20140817340001)

语种：英文

外文关键词：Security systems - Tracking (position) - Classification (of information)

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. ? 2013 IEEE.