Multi-Posture Human Extraction Using Coarse-to-Fine Method and Human Skeleton Method

Human detection is a technology that is used in various fields. It is, however, a trade-off between detection accuracy and precise extraction of human regions. The purpose of this paper is, therefore, to extract a precise human region using Coarse-to-Fine Method or Human Skeleton Method. In the Coarse-to-Fine Method, at first, Coarse Detector detects multi-posture humans. Next, Fine Detector extracts precise human regions. In the Human Skeleton Method, human skeletons are extracted by using OpenPose(1). Next, skeleton images are dilated based on physique of the human. Finally, human regions are extracted by using GrabCut(2). The extracted results are evaluated by detection accuracy and preciseness of extracted regions. F-measure and IoU (Intersection over Union) are employed to evaluate the detection accuracy and the preciseness respectively. In the Coarse-to-Fine Method, the detection accuracy is 0.523, and the extraction preciseness becomes 0.807. In the Human Skeleton Method, the detection accuracy reaches 0.928, and the extraction preciseness is 0.868. Especially, Human Skeleton Method gets excellent performance in not only the extraction preciseness but also the detection accuracy.