Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
An Efficient Multiple Object Detection and Tracking Framework for Automatic Counting and Video Surveillance Applications
Año:2012
Áreas de investigación
  • Ingenierías,
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
Automatic visual object counting and video surveillance have important applications for home and business environments, such as security and management of access points. However, in order to obtain a satisfactory performance these technologies need professional and expensive hardware, complex installations and setups, and the supervision of qualified workers. In this paper, an efficient visual detection and tracking framework is proposed for the tasks of object counting and surveillance, which meets the requirements of the consumer electronics: off-the-shelf equipment, easy installation and configuration, and unsupervised working conditions. This is accomplished by a novel Bayesian tracking model that can manage multimodal distributions without explicitly computing the association between tracked objects and detections. In addition, it is robust to erroneous, distorted and missing detections. The proposed algorithm is compared with a recent work, also focused on consumer electronics, proving its superior performance.
Internacional
Si
JCR del ISI
Si
Título de la revista
IEEE Trans. Consumer Electronics
ISSN
0098-3063
Factor de impacto JCR
Información de impacto
Volumen
58
DOI
10.1109/TCE.2012.6311328
Número de revista
3
Desde la página
857
Hasta la página
862
Mes
AGOSTO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Carlos Roberto del Blanco Adan (UPM)
  • Autor: Fernando Jaureguizar Nuñez (UPM)
  • 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)
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