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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Guadalajara
2006
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| Online Access: | https://www.redalyc.org/articulo.oa?id=73000417 |
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Table of Contents:
- Filtering for vision tracking Erik Cuevas J. Daniel Zaldivar N. Raul Rojas Multidisciplinarias (Ciencias Sociales) robotics Artificial vision The Kalman filter has been used successfully in different prediction applications or state determination of a system.One important field in computer vision is the object tracking. Different movement conditions and occlusions can hinder thevision tracking of an object. In this work, we present the use of the Kalman filter in vision tracking. We consider the capacity ofthe Kalman filter to allow small occlusions and also the use of the extended Kalman filter (EKF) to model complex movements ofobjects 2006 artículo científico 1665-5745 https://www.redalyc.org/articulo.oa?id=73000417 en http://www.redalyc.org/revista.oa?id=730 e-Gnosis application/pdf Universidad de Guadalajara e-Gnosis (México) Num.4