Reconstructing 3D Pose and Motion from a Single Camera View
نویسندگان
چکیده
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within a non-linear Point Distribution Model. This statistical model allows a direct mapping to be achieved between the external boundary of a human and the anatomical position. It is shown how this information, along with the position of landmark features such as the hands and head can be used to reconstruct information about the pose and structure of the human body from a monoscopic view of a scene.
منابع مشابه
Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
The recovery of 3D human pose with monocular camera is an inherently ill-posed problem due to the large number of possible projections from the same 2D image to 3D space. Aimed at improving the accuracy of 3D motion reconstruction, we introduce the additional builtin knowledge, namely height-map, into the algorithmic scheme of reconstructing the 3D pose/motion under a single-view calibrated cam...
متن کاملVideo Subject Inpainting: A Posture-Based Method
Despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. In this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. Using this framework, first the moving foreground is separated from the background and its scale is equalized. Then, a ...
متن کاملBody Pose Tracking From Uncalibrated Camera Using Supervised Manifold Learning
We present a framework to estimate 3D body configuration and view point from a single uncalibrated camera. We model shape deformations corresponding to both view point and body configuration changes through the motion. Such observed shapes present a product space (different configurations × different views) and therefore lie on a two dimensional manifold in the visual input space. The approach ...
متن کاملReal-time Upper Body 3D Pose Estimation from a Single Uncalibrated Camera
This paper outlines a method of estimating the 3D pose of the upper human body from a single uncalibrated camera. The objective application lies in 3D Human Computer Interaction where hand depth information offers extended functionality when interacting with a 3D virtual environment, but it is equally suitable to animation and motion capture. A database of 3D body configurations is built from a...
متن کاملReconstructing 3D Human Pose from 2D Image Landmarks
Reconstructing an arbitrary configuration of 3D points from their projection in an image is an ill-posed problem. When the points hold semantic meaning, such as anatomical landmarks on a body, human observers can often infer a plausible 3D configuration, drawing on extensive visual memory. We present an activity-independent method to recover the 3D configuration of a human figure from 2D locati...
متن کامل