Robust Object Tracking in Infrared Video via Particle Filters
Comas, Edgardo Antonio (Instituto de Investigaciones Científicas y Técnicas para la Defensa (Buenos Aires, Argentina))
Stácul, Adrián (Universidad Tecnológica Nacional (Argentina))
Delrieux, Claudio (Universidad Nacional de Sur (Bahía Blanca, Argentina). Laboratorio de Ciencias de las Imágenes)

Fecha:	2020
Resumen:	In this paper we investigate the effectiveness of particle filters for object tracking in infrared videos. Once the user identifies the target object to be followed in position and size, its most representative feature points are obtained by means of the SURF algorithm. A particle filter is initialized with these feature points, and the location of the object within the video frames is determined by the average value of the particles that have a greater similarity with the target. Two different field tests were carried out to study the filter behaviour in comparison with previously used methods in the bibliography. The first one was tracking an unmanned aerial vehicle (UAV) in the open. The second one was to identify a heliport in a noisy infrared zenithal video take. In the first test, the UAV was followed by another positioning system simultaneously, thus allowing the comparison of both systems, and the evaluation in the improvement introduced by the particle algorithm.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Image analysis ; Pattern recognition ; Tracking ; Particle filter
Publicado en:	ELCVIA, Vol. 19, Num. 1 (2020) , p. 1-14 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v19-n1-comas
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/370830
Adreça original: https://elcvia.cvc.uab.cat/article/view/v19-n1-comas
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/10.5565-rev-elcvia.1185
DOI: 10.5565/rev/elcvia.1185

14 p, 3.3 MB

El registro aparece en las colecciones:
Artículos > Artículos publicados > ELCVIA
Artículos > Artículos de investigación