Paper
22 March 2019 Multi-posture human extraction using coarse-to-fine method and human skeleton method
Yosuke Kinoshita, Hiroki Takahashi
Author Affiliations +
Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110490P (2019) https://doi.org/10.1117/12.2521502
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
Abstract
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. Next, skeleton images are dilated based on physique of the human. Finally, human regions are extracted by using GrabCut. 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.
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Yosuke Kinoshita and Hiroki Takahashi "Multi-posture human extraction using coarse-to-fine method and human skeleton method", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490P (22 March 2019); https://doi.org/10.1117/12.2521502
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KEYWORDS
Convolutional neural networks

Image processing

Target detection

Information science

Statistical analysis

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