RT info:eu-repo/semantics/conferenceObject
T1 Multi-camera 3-D tracking using particle filter
A1 Barrera González, Pablo
A1 Cañas, José María
A1 Matellán Olivera, Vicente
A1 Martín Rico, Francisco
A2 Arquitectura y Tecnologia de Computadores
K1 Informática
K1 3D
K1 Multi-cámaras
K1 Robótica
AB Determining the 3D location of a moving object, and tracking it from a sequence ofdifferent camera images is a classical but still challenging problem. In ourapproach neither explicit triangulation, nor precise motion model are used; onlythe colour of the object to be tracked is required. We use a particle filter, wherethe observation model we have developed avoids the colour filtering of the entireimage. Preliminary experiments are presented and lessons learned are commented.The approach easily scales to several cameras and new sensor cues
SN 84-933971-5-6
YR 2012
FD 2012-10-17
LK http://hdl.handle.net/10612/1913
UL http://hdl.handle.net/10612/1913
NO International Conference on Multimedia, Image processing and Computer Vision (IADAT-MICV 2005), 30 de abril, 2008, Madrid
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 20-may-2024