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| Main Author: | |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Guadalajara
2007
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| Online Access: | https://www.redalyc.org/articulo.oa?id=73000501 |
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Table of Contents:
- Particle filter in vision tracking Erik Cuevas J. Daniel Zaldivar N. Raul Rojas Multidisciplinarias (Ciencias Sociales) robotics Artificial vision The extended Kalman filter (EKF) has been used as the standard technique for performing recursive nonlinearestimation in vision tracking. In this work, we present an alternative filter with performance superior to that of the EKF. Thisalgorithm, referred to as the Particle filter. Particle filtering was originally developed to track objects in clutter (multi-modaldistribution). We present as results the filter behavior, in a case, when there are objects with similar characteristic to the object totrack 2007 artículo científico 1665-5745 https://www.redalyc.org/articulo.oa?id=73000501 en http://www.redalyc.org/revista.oa?id=730 e-Gnosis application/pdf Universidad de Guadalajara e-Gnosis (México) Num.5