RT Journal Article
T1 Real-time object tracking using bounded irregular pyramids.
A1 Marfil-Robles, Rebeca
A1 Molina-Tanco, Luis
A1 Rodríguez-Fernández, Juan Antonio
A1 Sandoval-Hernández, Francisco
K1 Visión por ordenador
AB Target representation and localization is a central component in visual object tracking. In this paper a new approach for target representation and localization is presented. This approach tackles two of the most important causes of failure in object tracking: changes of object appearance and occlusions. We propose a modified template matching approach which does not require a priori learning of object views. This method allows to track non-rigid objects in real-time by employing a weighted template which is dynamically updated, and a hierarchical framework that integrates all the components of the tracker. Our hierarchical tracker allows tracking of multiple objects with low increase of computational time. The capability of the tracking system to handle occlusions and target distortions is demonstrated for several video sequences.
PB Elsevier
YR 2007
FD 2007
LK https://hdl.handle.net/10630/34728
UL https://hdl.handle.net/10630/34728
LA eng
NO Marfil, R., Molina-Tanco, L., Rodríguez, J.A., Sandoval, F., REAL-TIME OBJECT TRACKING USING BOUNDED IRREGULAR PYRAMIDS, Pattern Recognition Letters, 2007, 28(9), pp. 985–1001
NO Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/11448
NO This work has been partially granted by the Spanish Ministerio de Educación y Ciencia and FEDER funds project No. TIN2004-05961
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026