Memorias de investigación
Artículos en revistas:
Camera localization using trajectories and maps
Año:2014
Áreas de investigación
  • Ingenierías,
  • Procesado y análisis de la señal
Datos
Descripción
We propose a new Bayesian framework for automatically determining the position (location and orientation) of an uncalibrated camera using the observations of moving objects and a schematic map of the passable areas of the environment. Our approach takes advantage of static and dynamic information on the scene structures through prior probability distributions for object dynamics. The proposed approach restricts plausible positions where the sensor can be located while taking into account the inherent ambiguity of the given setting. The proposed framework samples from the posterior probability distribution for the camera position via data driven MCMC, guided by an initial geometric analysis that restricts the search space. A Kullback-Leibler divergence analysis is then used that yields the final camera position estimate, while explicitly isolating ambiguous settings. The proposed approach is evaluated in synthetic and real environments, showing its satisfactory performance in both ambiguous and unambiguous settings.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Pattern Analysis And Machine Intelligence
ISSN
0162-8828
Factor de impacto JCR
4,795
Información de impacto
Datos JCR del año 2012
Volumen
36
DOI
10.1109/TPAMI.2013.243
Número de revista
4
Desde la página
684
Hasta la página
697
Mes
ABRIL
Ranking
29/78 TELECOMMUNICATIONS (SCI); 116/247 ENGINEERING, ELECTRICAL AND ELECTRONIC (SCI)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Raúl Mohedano Del Pozo UPM
  • Autor: Andrea Cavallaro Queen Mary University of London
  • Autor: Narciso Garcia Santos UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones