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Communication Dans Un Congrès Année : 2005

Robust Real-Time Visual Tracking: Comparison and Performance Evaluation

Résumé

In this paper, two real-time pose tracking algorithms for 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 into 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.
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Dates et versions

hal-01357383 , version 1 (29-08-2016)

Identifiants

  • HAL Id : hal-01357383 , version 1

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Andrew I. Comport, Danica Kragik, Eric Marchand, François Chaumette. Robust Real-Time Visual Tracking: Comparison and Performance Evaluation. IEEE International Conference on Robotics and Automation, 2005, Barcelona, Spain. ⟨hal-01357383⟩
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