文献类型：期刊文献

英文题名：Multiple faces tracking based on relevance vector machine

作者：Li, Wenxing[1]; Lian, Liming[1]

第一作者：李文星

通讯作者：Li, W.|[1107153061009]李伟;[1107136071064]李婉;[1107136051006]李炜;[1107149074022]李巍;

机构：[1] Electromechnical Engineering College, Xinxiang University, Henan, 451003, China

第一机构：新乡学院机电工程学院

通讯机构：[1]Electromechnical Engineering College, Xinxiang University, Henan, 451003, China|[1107111]新乡学院机电工程学院;[11071]新乡学院;

年份：2012

卷号：7

期号：4

起止页码：810-813

外文期刊名：Journal of Software

收录：EI(收录号：20121814988409);Scopus(收录号：2-s2.0-84860332657)

语种：英文

外文关键词：Adaptive boosting - Color - Color codes

摘要：A multiple faces tracking system was presented based on Relevance Vector Machine (RVM) and Boosting learning. At the first frame, a face detector based on AdaBoost is used to detect faces, and the face motion models and face color models are created. The face motion model consists of a set of RVMs that learn the relationship between the motion of the face and its appearance in the image, and the face color model is the 2D histogram of the face region in CrCb color space. In the tracking process, different tracking methods are used according to different states of the faces and the states are changed according to the tracking results. When the full image search condition is satisfied, a full image search is started in order to find new coming faces and former occluded faces. ? 2012 ACADEMY PUBLISHER.