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Conference Paper User Pose Estimation Based on Multiple Depth Sensors
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Authors
Seongmin Baek, Myunggyu Kim
Issue Date
2017-11
Citation
ACM SIGGRAPH Asia (SA) 2017, pp.1-2
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3145690.3145709
Abstract
Despite the diverse application of motion capture technology, it is challenging to capture people's motions unless they are wearing relevant equipment. This paper proposes a method of estimating the joint positions based on depth data as well as optimal joint selection in restoring the pose with multiple Kinect sensors. The proposed method enhances the accuracy of pose restoration, enables real-time capture of dynamic motions such as Taekwondo and applies to training programs for the general public.