基于步态特征提取的ELM身份识别方法

利用步态信息进行身份识别是一种新兴的生物识别技术.相较于其他的生物识别技术,其具有不易伪装、可在远距离情况下进行身份识别的优点.现有模型的识别方法计算量大、模型难以准确建立;现有的分类方法普遍存在训练时间长、分类准确率不高的问题.针对以上问题,对步态视频进行分帧处理,将分帧后的图像进行运动目标检测、形态学处理和图像归一...

ELM Identification Method Based on Gait Feature Extraction

The identification with the gait information is a new biometrics technology,compared with other biometrics,it has the advantages of not easy to disguise and can be identified at a distance.The gait recognition method based on the model is computationally expensive and difficult to establish the model accurately;the existing classification methods generally have the problems of long training time and low classification accuracy.In view of the above problems,this paper divided the gait video into frames.After preprocessing such as moving target detection,morphological processing and image normalization,gait energy image(GEI)was generated,this paper proposes a method of feature extraction of GEI and classification by using extreme learning machine(ELM).The experimental results show that this method can improve the speed of the training model greatly on the premise of ensuring the classification accuracy.The proposed method has certain guiding significance for the use of gait information for identity recognition,especially for the improvement of the training speed of large-scale image classification problem.