Robust real-time visual tracking: Comparison, theoretical analysis and performance evaluation
Abstract
In this paper, two real-time pose tracking algorithms of rigid objects are compared. Both methods are 3D-model based and are capable of calculating the pose between the camera and an object with a monocular vision system. Here, special consideration has been put on defining and evaluating different performance criteria such as computational efficiency, accuracy and robustness. Both methods are described and a unifying framework is derived. The main advantage of both algorithms lie in their real-time capabilities (on standard hardware) whilst being robust to miss-tracking, occlusion and changes in illumination.
Domains
Robotics [cs.RO]
Origin : Publisher files allowed on an open archive
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