摘要
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.
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.
出处
《计算机系统应用》
2014年第11期132-135,共4页
Computer Systems & Applications
基金
中央高校基本科研基金(10611201312014)
关键词
深度图像
深度直方图
身份识别
Kinect
Kinect
depth information
depth histogram
person identification
