Paper Info
Title
User pose estimation based on multiple depth sensors
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.
Year
DOI
Venue
2017
10.1145/3145690.3145709
SA '17: SIGGRAPH Asia 2017 Bangkok Thailand November, 2017
Keywords
Field
DocType
Dynamic motion capture,Multiple Kinect sensors,Depth,Joint,Training contents
Computer vision,Motion capture,Computer science,Pose,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
978-1-4503-5405-9
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Seongmin Baek101.69
Myunggyu Kim265.62