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Real-time Full-Body Motion Capture from Video and IMUs

Malleson, Charles, Volino, Marco, Gilbert, Andrew, Trumble, Matthew, Collomosse, John and Hilton, Adrian (2017) Real-time Full-Body Motion Capture from Video and IMUs In: International Conference on Computer Vision (3DV) 2017, 10-12th October 2017, Shandong University, Qingdao, China.

Malleson_3DV_2017.pdf - Accepted version Manuscript

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A real-time full-body motion capture system is presented which uses input from a sparse set of inertial measurement units (IMUs) along with images from two or more standard video cameras and requires no optical markers or specialized infra-red cameras. A real-time optimization-based framework is proposed which incorporates constraints from the IMUs, cameras and a prior pose model. The combination of video and IMU data allows the full 6-DOF motion to be recovered including axial rotation of limbs and drift-free global position. The approach was tested using both indoor and outdoor captured data. The results demonstrate the effectiveness of the approach for tracking a wide range of human motion in real time in unconstrained indoor/outdoor scenes.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 12 October 2017
Related URLs :
Depositing User : Jane Hindle
Date Deposited : 20 Oct 2017 11:12
Last Modified : 09 Oct 2018 15:21

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