文章基本信息

标题：GibbsBoost顔検出と映像監視業務への応用
本地全文：下载
作者：松井淳 ; 後藤祐 ; 木村彰夫等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2008
卷号：62
期号：3
页码：408-413
DOI：10.3169/itej.62.408
出版社：The Institute of Image Information and Television Engineers
摘要：We propose non-deterministic methods for automatically detecting occlusions of people's faces by superimposed symbols. We trained a face detector using an ensemble-learning algorithm (GibbsBoost) that is based on the sequential Monte Carlo method. We implemented an occlusion detector using a mixture of two discriminant functions that were related to the size of the detected face region and the occluded face area. One realization of this detector achieved a true positive detection rate of 90%. We present experimental results and discuss possibilities for further improvements.
关键词：放送映像;映像多重;遮蔽状態判別;顔画像検出;GibbsBoost