视频取证中加权聚类人脸识别方法  

Weighted Cluster Face Recognition Method in Video Forensics

作　　者：周建华[1] 

机构地区：[1]湖南警察学院计算机系,长沙410138

出　　处：《计算机与数字工程》2010年第10期125-128,154,共5页Computer & Digital Engineering

基　　金：湖南省教育厅项目(编号:08C027);2007湖南省公安厅科研计划项目批准立项课题资助

摘　　要：提出了一种基于特征加权聚类的视频人脸图像识别方法。该方法指定样本人脸图像特征点,通过增加特征点多方向窗口加权计算,使得中心特征点四周各点具有相异权重,利用加权聚类人脸识别方法检测限制搜索区域,最后根据每一个侯选区域的几何信息及人脸特征验证是否为指定人脸。实验结果表明,提出的算法实现简单、误检率低、检测速度快,适合实时视频监控取证系统应用。A human face recognition method based on feature weighted cluster for video forensics is presented.This method assigns the sample person face image characteristic point,through computing multi-direction window weighting of the increase characteristic point,enables central characteristic point all around each spot to have the different weight,searches the region using the weighting cluster person face recognition methods examination limit,finally acts according to each candidate region the geometry information and the human face characteristic confirms whether the sample human face.The experimental results show that the proposed algorithm has high speed and low error-detection rate,so it can be used in the real-time video surveillance forensics system.

关 键 词：视频取证 特征抽取 加权聚类 人脸识别 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]