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Leveraging Two Kinect Sensors for Accurate Full-Body Motion Capture

School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China
Authors to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2015, 15(9), 24297-24317;
Received: 1 July 2015 / Revised: 10 September 2015 / Accepted: 16 September 2015 / Published: 22 September 2015
(This article belongs to the Section Physical Sensors)
PDF [2311 KB, uploaded 22 September 2015]


Accurate motion capture plays an important role in sports analysis, the medical field and virtual reality. Current methods for motion capture often suffer from occlusions, which limits the accuracy of their pose estimation. In this paper, we propose a complete system to measure the pose parameters of the human body accurately. Different from previous monocular depth camera systems, we leverage two Kinect sensors to acquire more information about human movements, which ensures that we can still get an accurate estimation even when significant occlusion occurs. Because human motion is temporally constant, we adopt a learning analysis to mine the temporal information across the posture variations. Using this information, we estimate human pose parameters accurately, regardless of rapid movement. Our experimental results show that our system can perform an accurate pose estimation of the human body with the constraint of information from the temporal domain. View Full-Text
Keywords: motion capture; pose estimation; temporal constraint; Kinect sensors motion capture; pose estimation; temporal constraint; Kinect sensors

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Gao, Z.; Yu, Y.; Zhou, Y.; Du, S. Leveraging Two Kinect Sensors for Accurate Full-Body Motion Capture. Sensors 2015, 15, 24297-24317.

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