CAJ | 학술논문

采用传统视频信号进行身份识别时，易受遮挡、复杂背景等因素干扰的问题，本文提出一种利用 Kinect深度信息进行身份快速鉴别的方法。首先利用微软Kinect设备获取人体俯视图(深度图像)，然后根据深度信息提取以下特征：(1)身高，(2)肩宽，(3)深度直方图，根据人体生理结构的差异达到判别人身份的目的。实验结果表明，该方法计算简单，具有较高的识别精度和较强的鲁棒性。
채용전통시빈신호진행신빈식별시，역수차당、복잡배경등인소간우적문제，본문제출일충이용 Kinect심도신식진행신빈쾌속감별적방법。수선이용미연Kinect설비획취인체부시도(심도도상)，연후근거심도신식제취이하특정：(1)신고，(2)견관，(3)심도직방도，근거인체생리결구적차이체도판별인신빈적목적。실험결과표명，해방법계산간단，구유교고적식별정도화교강적로봉성。
Traditional person identification methods have a low tolerance for occluded situation and complicated background. We focus on an image from an overhead camera.we utilize depth information for the person identification. We apply three features to the identification method:(1)the height, (2)shoulder width, (3)depth histogram. Experimental result shows our method has higher accuracy, strong robust-ness and good real-time with the existing methods of person identification.