Detection of human faces in color image sequences with arbitrary motions for very low bit-rate videophone coding

被引：6

作者：

Kapfer, M ^{[1
]}

Benois-Pineau, J ^{[1
]}

机构：

[1] SEI Image & Videocom, CNRS, EP 63, IRESTE La Chantrerie, F-44087 Nantes 03, France

来源：

PATTERN RECOGNITION LETTERS | 1997年 / 18卷 / 14期

关键词：

image segmentation; color representation; face detection; multiresolution strategy; motion activity;

D O I：

10.1016/S0167-8655(97)00143-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of human face detection is a focus of interest in image analysis, image databases and video coding. A new multi-resolution method using color and motion information and shape model is developed to detect human faces in videophone QCIF sequences for efficient encoding. The method is based on color segmentation and multiresolution propagation of a geometrical model. A new measure of motion activity is proposed to validate the choice of candidates. (C) 1997 Elsevier Science B.V.

引用

页码：1503 / 1518

页数：16

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