A real-time motion capture system is presented which uses input from multiple standard video cameras and inertial measurement units (IMUs). The system is able to track multiple people simultaneously and requires no optical markers, specialized infra-red cameras or foreground/background segmentation, making it applicable to general indoor and outdoor scenarios with dynamic backgrounds and lighting. To overcome limitations of prior video or IMU-only approaches, we propose to use flexible combinations of multiple-view, calibrated video and IMU input along with a pose prior in an online optimization-based framework, which allows the full 6-DoF motion to be recovered including axial rotation of limbs and drift-free global position. A method for ...
This paper presents a real-time motion capture system of 3D multi-part objects, whose purpose is to ...
Most modern approaches for video-based multiple people tracking rely on human appearance to exploit ...
We propose an approach to accurately esti- mate 3D human pose by fusing multi-viewpoint video (MVV) ...
A real-time motion capture system is presented which uses input from multiple standard video cameras...
A real-time full-body motion capture system is presented which uses input from a sparse set of inert...
Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and t...
We present a method for capturing the skeletal motions of humans using a sparse set of potentially m...
Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and t...
22-26 April 2003In this paper, we discuss a vision-based real-time motion capture system, which is c...
The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability...
Performance capture is used extensively within the creative industries to efficiently produce high q...
This thesis addresses the problem of automatic measurement of human motion in a multiple-camera stud...
The analysis and understanding of human movement is central to many applications such as sports scie...
We present a system for the estimation of unconstrained 3D human upper body movement from multiple c...
We present a novel method for dynamic estimation of pose of multiple people using multiple video cam...
This paper presents a real-time motion capture system of 3D multi-part objects, whose purpose is to ...
Most modern approaches for video-based multiple people tracking rely on human appearance to exploit ...
We propose an approach to accurately esti- mate 3D human pose by fusing multi-viewpoint video (MVV) ...
A real-time motion capture system is presented which uses input from multiple standard video cameras...
A real-time full-body motion capture system is presented which uses input from a sparse set of inert...
Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and t...
We present a method for capturing the skeletal motions of humans using a sparse set of potentially m...
Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and t...
22-26 April 2003In this paper, we discuss a vision-based real-time motion capture system, which is c...
The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability...
Performance capture is used extensively within the creative industries to efficiently produce high q...
This thesis addresses the problem of automatic measurement of human motion in a multiple-camera stud...
The analysis and understanding of human movement is central to many applications such as sports scie...
We present a system for the estimation of unconstrained 3D human upper body movement from multiple c...
We present a novel method for dynamic estimation of pose of multiple people using multiple video cam...
This paper presents a real-time motion capture system of 3D multi-part objects, whose purpose is to ...
Most modern approaches for video-based multiple people tracking rely on human appearance to exploit ...
We propose an approach to accurately esti- mate 3D human pose by fusing multi-viewpoint video (MVV) ...