VIDEO IMAGE CLUSTERING BASED ON HUMAN FACE AND SHIRT COLOR

被引：3

作者：

Hossain, Md. Shafaeat ^{[1
]}

Rahman, Khandaker Abir ^{[1
]}

Hasanuzzaman, Md. ^{[1
]}

Bhuyian, M. A. ^{[2
]}

Ueno, H. ^{[3
]}

机构：

[1] Univ Dhaka, Dept Comp Sci & Engn, Dhaka 1000, Bangladesh

[2] Jahangirnagar Univ, Dept Comp Sci & Engn, Savar, Bangladesh

[3] NII, Tokyo, Japan

来源：

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS | 2010年 / 10卷 / 01期

关键词：

Video image clustering; face detection; shirt color; multi-resolution templates matching; mean to face image distance; shirt window;

D O I：

10.1142/S0219467810003639

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper proposes a novel video image clustering method based on human face and shirt color. Clustering has been performed in unsupervised manner where no prior knowledge about the input video clip is required. For face detection, multi-resolution templates based pattern matching method has been used. We have experimented on 11 video clips of various durations in order to evaluate the performance of the proposed system. The ability of the system to generate a meaningful number of clusters that exist in the input video clip is definitely well. The performance of the system with respect to precision and recall rate is also highly satisfactory.

引用

页码：1 / 19

页数：19

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