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This paper presents a comprehensive review on regression-based method forhuman pose estimation. The problem of human pose estimation has beenintensively studied and enabled many application from entertainment totraining. Traditional methods often rely on color image only which cannotcompletely ambiguity of joint 3D position, especially in the complex context.With the popularity of depth sensors, the precision of 3D estimation hassignificant improvement. In this paper, we give a detailed analysis ofstate-of-the-art on human pose estimation, including depth image based andRGB-D based approaches. The experimental results demonstrate their advantagesand limitation for different scenarios.

A Survey of Efficient Regression of General-Activity Human Poses from Depth Images