Real-time object tracking with correlation filtering and state prediction

Viridiana Contreras, Victor H. Diaz-Ramirez, Vitaly Kober, Juan J. Tapia-Armenta

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

A real-time tracking system based on adaptive correlation filtering and state prediction is proposed. The system is able to estimate at high-rate the position of multiple targets within the observed scene by taking into account information of past and present scene-frames. The position of the targets in the current frame is estimated with the help of a bank of composite correlation filters applied to several small regions taken from the observed scene. These small regions are updated in each frame according to information from a state predictor based on the motion model of targets in a twodimensional plane. The proposed system is implemented on a graphics processing unit to take advantage of massive parallelism. Computer simulation results obtained with the proposed system are presented and discussed in terms of tracking accuracy and real-time operation efficiency.

Idioma originalInglés
Título de la publicación alojadaApplications of Digital Image Processing XXXVI
DOI
EstadoPublicada - 2013
EventoApplications of Digital Image Processing XXXVI - San Diego, CA, Estados Unidos
Duración: 26 ago. 201329 ago. 2013

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen8856
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaApplications of Digital Image Processing XXXVI
País/TerritorioEstados Unidos
CiudadSan Diego, CA
Período26/08/1329/08/13

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