3D Human Motion Reconstruction Using Video Processing

Abstract

Abstract.One of the important problems in human motion analysis is the 3D reconstruction of human motion, which utilizes the anatomic point's positions. These points can uniquely define the position and orientation of all anatomical segments. In this paper, a new method for reconstruction of human motion from the image sequence of a single static camera is described. In this method 2D tracking is used for 3D reconstruction, which a database of selected frames are used for the correction of tracking process. We use Discrete Cosine Transform (DCT) block as a "Matrix des criptor" used in the matching process for finding appropriate frame in the database and tracking process. Finally, 3D reconstruction is performed using Taylor method. By using DCT, we can select best frequency region for various tasks such as tracking, matching, correcting joints and so on. Experimental results showed the promise of the algorithm.

Model based full body human motion reconstruction from video data

“…They estimate the weak perspective camera parameters by considering it as Orthogonal Procrustes problem. Roodsarabi and Behrad [15] describe 3D human motion reconstruction by employing Taylor method. They utilize Discrete Cosine Transform (DCT) as descriptors in the process of matching.…”

3D Human Motion Tracking and Reconstruction Using DCT Matrix Descriptor

“…In this article, we introduce a new method for 3D reconstruction of human motion in uncalibrated monocular video streams, which is based on our previous work [25]. The method utilizes a combination of discriminative and tracking algorithm.…”