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 Template Tracking using Generalized Modus Tollens Olivier Strauss d9fc1ae8388b61129dfb963e0bdacf26 lirmm.fr olivier-strauss 21713 18279-21713 https://orcid.org/0000-0003-4485-772X https://www.idref.fr/068902891 Frédéric Comby 2b909e2b48e3d8cb0290a78a17fa23a0 lirmm.fr frederic-comby 6243 18278-6243 https://www.idref.fr/068902778 https://orcid.org/0000-0001-7157-4296 Christine Carvalho De Matos 10103945d6df12b14430343989bb0f6f lirmm.fr 2006-10-16 08:29:38 2023-03-24 14:52:48 2016-06-16 11:34:51 2005-05-22 2006-10-16 contributor Christine Carvalho De Matos 10103945d6df12b14430343989bb0f6f lirmm.fr CCSD lirmm-00106481 https://hal-lirmm.ccsd.cnrs.fr/lirmm-00106481 strauss:lirmm-00106481 <i>FUZZ-IEEE</i>, May 2005, Reno, NV, United States. pp.282-287, <a target="_blank" href="https://dx.doi.org/10.1109/FUZZY.2005.1452407">&#x27E8;10.1109/FUZZY.2005.1452407&#x27E9;</a> FUZZ-IEEE, May 2005, Reno, NV, United States. pp.282-287, &#x27E8;10.1109/FUZZY.2005.1452407&#x27E9; HAL Authorization CNRS - Centre national de la recherche scientifique Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier ICAR: Image & Interaction Mathématiques, Informatique, Physique et Systèmes Université de Montpellier Université de Montpellier (2015-2021) International No No Yes Yes Template Tracking using Generalized Modus Tollens Olivier Strauss d9fc1ae8388b61129dfb963e0bdacf26 lirmm.fr olivier-strauss 21713 18279-21713 https://orcid.org/0000-0003-4485-772X https://www.idref.fr/068902891 Frédéric Comby 2b909e2b48e3d8cb0290a78a17fa23a0 lirmm.fr frederic-comby 6243 18278-6243 https://www.idref.fr/068902778 https://orcid.org/0000-0001-7157-4296 14th International Conference on Fuzzy Systems FUZZ-IEEE 2005-05-22 2005-05-25 Reno, NV United States 282-287 2005 10.1109/FUZZY.2005.1452407 English Image processing Tracking FUZZY Computer Science [cs]/Robotics [cs.RO] Conference papers Conference papers Conference papers

This article describes an original method to track 2D templates in a video sequence. This approach is based on robust modelling of the interaction between pattern movement and grey level variations in the image using fuzzy bimodal rules. Movement estimation is performed by inverting these rules and polling the results in a quasi-continuous histogram. Some experimental results are given to illustrate the performance of this algorithm.

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