期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：10
页码：1574-1594
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Few biometrics can be used to recognize a person from distance without need of direct sharing or cooperation of that person, gait (walking behavior) is one of them. Walking behavior (gait) recognition includes specifying person identity by analyzing the walking style (walking manner). In this paper, a human gait identification system is proposed based on extracted features, which are vertical hip, horizontal hip angle and slop of thigh. The first step of the proposed system is detecting the binary silhouette of a walking individual from the uploaded videos. Then, the gait cycle is allocated using aspect ratio method. Finally, the required features from each frame in gait cycle are extracted. Different image processing operation have been performed to extract the required features. The outcome of the proposal system reflects flexibility in term of inserting, searching, updating, deleting and matching. The proposed system is tested in terms of offered functions, human recognition and noise effects. The obtained results show the efficient performance of the system and high ability of covering the error caused by surrounding conditions (additional normal distribution noise with matching rate of threshold 70%. The adding noise can degrade the matching rate, particularly for high variance values as a reason of moving the object irregularly while capturing or unexpected changing in the effected surrounding conditions.
