Complex articulated object tracking
Author(s) -
Andrew I. Comport,
Éric Marchand,
François Chaumette
Publication year - 2005
Publication title -
elcvia electronic letters on computer vision and image analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.15
H-Index - 11
ISSN - 1577-5097
DOI - 10.5565/rev/elcvia.103
Subject(s) - robustness (evolution) , computer science , kinematics , artificial intelligence , computer vision , a priori and a posteriori , robotics , tracking system , robot , kalman filter , biochemistry , chemistry , physics , philosophy , epistemology , classical mechanics , gene
In this paper new results are presented for tracking complex multi-body objects. The theoretical framework is based on robotics techniques and uses an a-priori model of the object including a general mechanical link description. A new kinematic-set formulation takes into account that articulated degrees of freedom are directly observable from the camera and therefore their estimation does not need to pass via a kinematic-chain back to the root. By doing this the tracking techniques are efficient and precise leading to real-time performance and accurate measurements. The system is locally based upon an accurate modeling of a distance criteria. A general method is given for defining any type of mechanical link and experimental results show prismatic, rotational and helical type links. A statistical M-estimation technique is applied to improve robustness. A monocular camera system was used as a real-time sensor to verify the theory
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