Automated Person Indexing in Video
一种基于多特征的视频人物聚类方法

Person retrieval and indexing in video sequences are challenging task for many multimedia applications.This paper proposes a new method that indexes the person by their similarity.Firstly,the persons in a shot are detected and tracked through face detector and continuously adaptive mean shift algorithm.Then mid-level features such as clothes colors and voice are applied to represent the person.An unsupervised cluster method is performed to cluster the person for further index.At last,the cluster is validate...