A Novel Fast Human Face Searching Algorithm Based On Evolutionary Agent

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.

关键词： Evolutionary Computation Agent Human Face Detection Image Segmentation Searching Algorithm

作者: Yanjiang Wang Wenjuan Wang Yujuan Qi Hui Li

作者单位: College of Information and Control Engineering,China University of Petroleum,Dongying, Shandong, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 653-656

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）