文章基本信息

标题：Review On: Human Identification Using GAIT Recognition Technique with PAL and PAL Entropy and NN
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作者：Preetpal Kaur ; Gagangeet Singh Aujla
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：3281-3285
出版社：TechScience Publications
摘要：Gait recognition is one kind of biometric technology that can be used to monitor people without their cooperation. Controlled environments such as banks, military installations and even airports need to be able to quickly detect threats and provide differing levels of access to different user groups. Gait shows a particular way or manner of moving on foot and gait recognition is the process of identifying an individual by the manner in which they walk. Gait is less unobtrusive biometric, which offers the possibility to identify people at a distance, without any interaction or cooperation from the subject; this is the property which makes it so attractive [2 ] . This paper proposed new method for gait recognition. In this method, firstly binary silhouette of a walking person is detected from each frame. Secondly, feature from each frame is extracted using image processing operation. Here center of mass, step size length, and cycle length are talking as key feature. At last neural network is used for training and testing purpose. We have created different model of neural network based on hidden layer, selection of training algorithm and setting the different parameter for training. Here all experiments are done on gait database. Different groups of training and testing dataset give different results.
关键词：Gait Recognition; Gait Pal and Pal Entropy;Image (GPPE); NN and identification