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
Link To Document :
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