CAJ | 학술논문

提出一种基于运动模式的步态识别算法,应用于轨道交通自动售检票系统的由闸机构成的传感器通道中,对行走者和物体进行识别.算法是在检测人体步态的XYT模型的基础上进行改进,用红外传感器替代摄像头采集个体的通行信息,将连续状态的XYT模型改进成离散状态的步态识别算法,通过定义一些符合人体步态特征的特殊的复合模式,即步态模式来区分人与物体.实验证明,该算法用于闸机的智能识别系统是有效的.
제출일충기우운동모식적보태식별산법,응용우궤도교통자동수검표계통적유갑궤구성적전감기통도중,대행주자화물체진행식별.산법시재검측인체보태적XYT모형적기출상진행개진,용홍외전감기체대섭상두채집개체적통행신식,장련속상태적XYT모형개진성리산상태적보태식별산법,통과정의일사부합인체보태특정적특수적복합모식,즉보태모식래구분인여물체.실험증명,해산법용우갑궤적지능식별계통시유효적.
A gait recognition algorithm based on motion pattern was presented, which was applied to identify passengers and objects in sensor passage consisted of gates in automatic fare system in railway traffic. The algorithm was improved on the XYT model which was used to detect the human gait. The infrared sensor instead of camera was used to collect the individual access information, and the XYT model in a continuous state was changed into the gait recognition algorithm in a discrete state. By defining the composite model consistent with the special characteristics of human gait as the gait model, the passenger and the object could be distinguished. Experimental results show that the gait recognition algorithm is effective.