One of the most important issues in human motion analysis is the tracking and 3D reconstruction of human motion, which\r\nutilizes the anatomic points� positions. These points can uniquely define the position and orientation of all anatomical segments.\r\nIn this work, a new method is proposed for tracking and 3D reconstruction of human motion from the image sequence of a\r\nmonocular static camera. In this method, 2D tracking is used for 3D reconstruction, which a database of selected frames is used\r\nfor the correction of tracking process. The method utilizes a new image descriptor based on discrete cosine transform (DCT),\r\nwhich is employed in different stages of the algorithm. The advantage of using this descriptor is the capabilities of selecting proper\r\nfrequency regions in various tasks, which results in an efficient tracking and pose matching algorithms. The tracking and matching\r\nalgorithms are based on reference descriptor matrixes (RDMs), which are updated after each stage based on the frequency regions\r\nin DCT blocks. Finally, 3D reconstruction is performed using Taylor�s method. Experimental results show the promise of the\r\nalgorithm.
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