Real-Time Face Detection/Identification for Surveillance System

被引：0

作者：

Suvonvorn, Nikom ^{[1
]}

Chocksuriwong, Anant ^{[1
]}

机构：

[1] Prince Songkla Univ, Dept Comp Engn, Hat Ai 90112, Songkhla, Thailand

来源：

ICED: 2008 INTERNATIONAL CONFERENCE ON ELECTRONIC DESIGN, VOLS 1 AND 2 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Face processing is one among the popular problems of detection and recognition. In surveillance system application, the massive data of video is analyzed by complex algorithms that must consider the real-time constraints. In this paper we propose a face processing framework as a component-based architecture for dealing with face online processing. Face detection and classification algorithms are realized based on a Haar-like features and Support Vector Machine (SVM) respectively as a way to efficiently extract a face image and enhance face recognition rates with robustness on different orientation Experimental results are presented with discussion.

引用

页码：752 / 756

页数：5

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