A pose estimation scheme based on distance scaling algorithm in real-time environment

The innovation of convolutional neural networks motivated the study on the many aspects of image processing and object detection. One topic of interest in the field of object detection is human detection and the human pose estimation scheme. Human pose estimation scheme enables computer vision with a higher accuracy of identifying human motion and movement. Pose estimation scheme has been applied in making 2D images into 3D representation. This paper aims to determine the distance between the camera and the human subject with real-time application which takes advantage of existing pose estimation schemes. The distance scaling applied in the paper showed high performance of about 0.27 m error from the actual distance.