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    Pose estimation of soccer players using multiple uncalibrated cameras

    , Article Multimedia Tools and Applications ; Volume 75, Issue 12 , 2016 , Pages 6809-6827 ; 13807501 (ISSN) Afrouzian, R ; Seyedarabi, H ; Kasaei, S ; Sharif University of Technology
    Springer New York LLC 
    Abstract
    Fully automatic algorithm for estimating the 3D human pose from multiple uncalibrated cameras is presented. Unlike the state-of-the-art methods which use the estimated pose of previous frames to restrict the candidates of current frame, the proposed method uses the viewpoint of previous frame in order to obtain an accurate pose. This paper also introduces a method to incorporate pose estimation results of several cameras without using the calibration information. The algorithm employs a rich descriptor for matching purposes. The performance of the proposed method is evaluated on a soccer database which is captured by multiple cameras. The dataset of silhouettes, in which the related 3D... 

    3D human pose estimation from image using couple sparse coding

    , Article Machine Vision and Applications ; Vol. 25, issue. 6 , 2014 , p. 1489-1499 Zolfaghari, M ; Jourabloo, A ; Gozlou, S.G ; Pedrood, B ; Manzuri-Shalmani, M.T ; Sharif University of Technology
    Abstract
    Recent studies have demonstrated that high-level semantics in data can be captured using sparse representation. In this paper, we propose an approach to human body pose estimation in static images based on sparse representation. Given a visual input, the objective is to estimate 3D human body pose using feature space information and geometrical information of the pose space. On the assumption that each data point and its neighbors are likely to reside on a locally linear patch of the underlying manifold, our method learns the sparse representation of the new input using both feature and pose space information and then estimates the corresponding 3D pose by a linear combination of the bases... 

    A fast bottom-up approach toward three-dimensional human pose estimation using an array of cameras

    , Article Optics and Lasers in Engineering ; Volume 95 , 2017 , Pages 69-77 ; 01438166 (ISSN) Ghaneizad, M ; Kavehvash, Z ; Mehrany, K ; Tayaranian Hosseini, S. M. A ; Sharif University of Technology
    Abstract
    In this paper, employing recorded images of multiple cameras, we propose a novel fast approach for three-dimensional (3D) human pose reconstruction. Opening a new framework to the pose estimation application, the proposed method is inspired by optical 3D reconstruction algorithms conventionally used for integral imaging. Thanks to the fact that the pose estimation can be carried out by using only key features of the raw recorded images, the computation time and the complexity of our method are considerably reduced. Furthermore, utilizing the here proposed algorithm, rapid variations in actions can be easily tracked. The validity of the proposed method is demonstrated by several experimental...