• DocumentCode
    661916
  • Title

    Automatic multiple Kinect cameras setting for simple walking posture analysis

  • Author

    Kaenchan, Suttipong ; Mongkolnam, Pornchai ; Watanapa, Bunthit ; Sathienpong, Sasipa

  • Author_Institution
    Sch. of Inf. Technol., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    245
  • Lastpage
    249
  • Abstract
    We propose an automatic setting of multiple skeletal tracking Kinect cameras, in lieu of mere using a single camera, to capture a human skeleton because of possible viewing occlusions. Using multiple cameras from different angles gives a more complete whole body; however, more required steps are needed in combining multiple skeletons into one final skeleton. One camera is used as a reference for the other cameras to transform their coordinates into the reference camera´s coordinate system. Once every view is in the same coordinate, one skeleton is able to be composed. Due to camera´s sensory errors, nevertheless, the supposedly same joint of the skeleton, which is obtained from the transformations, may not be exactly located at the same position. Therefore, average joints are used for the composed skeleton. The skeleton is then used to analyze the walking posture of a human subject in order to check whether or not the walking is balanced.
  • Keywords
    cameras; gait analysis; image capture; image sensors; object tracking; pose estimation; automatic multiple skeletal tracking Kinect camera setting; camera sensory errors; coordinate transformation; human skeleton capture; reference camera coordinate system; simple walking posture analysis; viewing occlusions; Cameras; Educational institutions; Hip; Joints; Legged locomotion; Vectors; Kinect cameras; balanced walking; composed human skeleton; skeletal tracking; walking posture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2013 International
  • Conference_Location
    Nakorn Pathom
  • Print_ISBN
    978-1-4673-5322-9
  • Type

    conf

  • DOI
    10.1109/ICSEC.2013.6694787
  • Filename
    6694787