基于脸部和步态特征融合的身份识别  

Combination of face and gait for human recognition

作　　者：侯晓慧[1] 刘志镜[1] 

机构地区：[1]西安电子科技大学计算机学院,西安710071

出　　处：《计算机应用》2009年第8期2087-2088,2091,共3页journal of Computer Applications

基　　金：广东省教育部省部产学研联合开发项目(5003-00703P07)

摘　　要：提出了一种将脸部和步态特征相结合,应用于智能监控系统进行远距离视频流中身份识别的新方法。该方法首先分别采用隐马尔可夫模型(HMM)和Fisherfaces方法进行步态和脸部的识别,之后将这两个分类器得到的结果进行匹配级的融合。对从不同方向采集的31个人的视频序列进行分析实验,结果表明将脸部和步态特征相结合进行身份识别具有很好的鲁棒性,其识别性能也优于只采用脸部或步态单一特征的识别方法。Focusing on the application of intelligent surveillance, this paper proposed a new approach in which the combination of face and gait was used for human recognition at a distance in video sequences. Hidden Markov Model （HMM） and Fisher faces method were primarily applied for gait and face recognition, respectively. And then, the results obtained from the two classifiers were utilized and integrated at match score level. The system was tested on video sequences of 31 individuals collected from different directions. The results show that the combination of face and gait provides a more robust recognition strategy, and it has better recognition performance compared with face-only or gait-only method.

关 键 词：步态识别 脸部识别 多生物特征的融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]