A Novel Fast Human Face Searching Algorithm Based On Evolutionary Agent

被引：0
|
作者：
Wang, Yanjiang [1 ]
Wang, Wenjuan [1 ]
Qi, Yujuan [1 ]
Li, Hui [1 ]
机构：
[1] China Univ Petr, Coll Informat & Control Engn, Dongying, Shandong, Peoples R China
来源：
2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年
关键词：
Evolutionary Computation; Agent; Human Face Detection; Image Segmentation; Searching Algorithm; BEHAVIOR-BASED AGENTS; SEGMENTATION; IMAGES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Human face detection is a key technology in face information processing, the speed of which is very important during real-time face detection for input images or input video sequences. This paper presents a novel face window searching algorithm based on evolutionary agent when detecting faces in gray-scale images. It can quickly find the candidate face windows through the evolutionary computation of distributed agents, which represent different kind of windows. Experimental results show that the evolutionary agent-based searching algorithm can increase the detection speed by 5-7 times compared with the traditional exhaustive searching method used in some general algorithms.
引用
收藏
页码：653 / 656
页数：4
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