NDLI: Recovery of 3D animal motions using cameras and mirrors

Content Provider	Springer Nature Link
Author	Avni, Ofir Baum, Tomer Katzir, Gadi Rivlin, Ehud
Copyright Year	2009
Abstract	We present a system that tracks an articulated body performing 3D movement with occlusions using a combination of cameras and mirrors. By integrating cameras and mirrors we get a simultaneous coverage of almost every point on the target and avoid occlusions. The suggested setup is much simpler and easier to handle compared to the equivalent, camera-based setup. Our tracking algorithm is model-based, and errors in the model are treated using the bundle adjustment procedure. In order to deal with the problem of feature visibility, each feature is set to be valid or invalid based on the model and on its expected appearance; this ensures that the system always tracks a set of distinguishable features. The proposed algorithm was able to track targets in 3D using the Gauss–Newton method to minimize geometric errors. We tested our setup by tracking the chameleon’s eyes. Tracking the eyes of a chameleon can be considered as the estimation of the 3D pose of an articulated body, where the head of the chameleon is considered as a rigid body, and each of the two eyes has additional two degrees of freedom. The algorithm proposed can be easily expanded to cope with more complex objects.
Starting Page	879
Ending Page	888
Page Count	10
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	21
Issue Number	6
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-09-17
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tracking in 3D Occlusions Pose estimation Mirror as virtual camera Communications Engineering, Networks Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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