Object tracking in nonuniform illumination using space-variant correlation filters

Víctor Hugo Díaz-Raḿirez, Kenia Picos, Vitaly Kober

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

A reliable system for recognition and tracking of a moving target in nonuniformly illuminated scenes is presented. The system employs a filter bank of space-variant correlation filters adapted to local statistical parameters of the observed scene in each frame. When a scene frame is captured, a fragment of interest is constructed in the frame around predicted location of the target based on a kinematic model. The fragment is firstly pointwise processed to correct the illumination. Afterwards, the state of the target is estimated from the restored fragment by employing a bank of space-variant correlation filters. The performance of the proposed system in terms of object recognition and tracking is tested with nonuniformly illuminated and noisy scenes. The results are compared with those of common techniques based on correlation filtering.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings
Páginas455-462
Número de páginas8
EdiciónPART 2
DOI
EstadoPublicada - 2013
Evento18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 - Havana, Cuba
Duración: 20 nov. 201323 nov. 2013

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 2
Volumen8259 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
País/TerritorioCuba
CiudadHavana
Período20/11/1323/11/13

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