DocumentCode :
2700739
Title :
Camera auto-calibration from articulated motion
Author :
Kuo, Paul ; Nebel, Jean-Christophe ; Makris, Dimitrios
Author_Institution :
Kingston Univ., London
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
135
Lastpage :
140
Abstract :
This paper presents a novel auto-calibration method from unconstrained human body motion. It relies on the underlying biomechanical constraints associated with human bipedal locomotion. By analysing positions of key points during a sequence, our technique is able to detect frames where the human body adopts a particular posture which ensures the coplanarity of those key points and therefore allows a successful camera calibration. Our technique includes a 3D model adaptation phase which removes the requirement for a precise geometrical 3D description of those points. Our method is validated using a variety of human bipedal motions and camera configurations.
Keywords :
calibration; cameras; gait analysis; image motion analysis; image sequences; articulated motion; biomechanical constraints; camera autocalibration; frame detection; human bipedal locomotion; image sequence; posture; unconstrained human body motion; Adaptation model; Biological system modeling; Calibration; Cameras; Equations; Geometry; Humans; Layout; Solid modeling; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
Type :
conf
DOI :
10.1109/AVSS.2007.4425299
Filename :
4425299
Link To Document :
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