一种基于RGB-D的人体关节点定位方法
A method of Positioning the Human Body Joints Based on RGB and Depth Information

提出了一种基于RGB-D的人体关节点定位方法：对kinect获取的深度图像滤波膨胀细化处理，得到人体骨架线，根据角点检测算法得到人体骨架线的端点及折点，然后利用运动目标的跟踪算法对彩色图像中人的脸部跟踪定位，最后结合人体各刚架比例关系，定位出人体的15个关节点。试验结果表明，与直接根据人体各刚件比例关系以定位关节点的方法相比，此方法的关节点平均定位准确率提高了7%，其中头节点定位准确率提高了42%。
In this paper, a method of positioning the human joints based on RGB-D was proposed. The human body skeleton line was obtained by the deep image filtering, dilating and thinning processing of the kinect acquisition，the end and turning points of the human skeleton line were obtained according to the corner detection algorithm. Then tracked and positioning the human’s face in the color image; at last the 15 joints of human body were positioned combining with the proportion of the rigid parts of the human body. The results showed that the accuracy of positioning joints of this method was improved by 7% compared with the method of positioning the joints directly according to the proportion of the rigid parts of the human body, and the accuracy of positioning the joint of head is improved by 42%