Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
An Efficient Multiple Object Detection and Tracking Framework for Automatic Counting and Video Surveillance Applications
Year:2012
Research Areas
  • Engineering,
  • Electronic technology and of the communications
Information
Abstract
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.
International
Si
JCR
Si
Title
IEEE Trans. Consumer Electronics
ISBN
0098-3063
Impact factor JCR
Impact info
Volume
58
10.1109/TCE.2012.6311328
Journal number
3
From page
857
To page
862
Month
AGOSTO
Ranking
Participants
  • Autor: Carlos Roberto del Blanco Adan (UPM)
  • Autor: Fernando Jaureguizar Nuñez (UPM)
  • Autor: Narciso Garcia Santos (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
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