Multicamera sport player tracking with Bayesian estimation of measurements


Autoria(s): Martinez-del-Rincon, Jesus; Herrero-Jaraba, Elias; Raul Gomez, J.; Orrite-Urunuela, Carlos; Medrano, Carlos; Montanes-Laborda, Miguel A.
Data(s)

01/04/2009

Resumo

<p>We propose a complete application capable of tracking multiple objects in an environment monitored by multiple cameras. The system has been specially developed to be applied to sport games, and it has been evaluated in a real association-football stadium. Each target is tracked using a local importance-sampling particle filter in each camera, but the final estimation is made by combining information from the other cameras using a modified unscented Kalman filter algorithm. Multicamera integration enables us to compensate for bad measurements or occlusions in some cameras thanks to the other views it offers. The final algorithm results in a more accurate system with a lower failure rate. (C) 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3114605]</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/multicamera-sport-player-tracking-with-bayesian-estimation-of-measurements(4630038f-15b8-419a-b08f-61de3f7e2093).html

http://dx.doi.org/10.1117/1.3114605

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Martinez-del-Rincon , J , Herrero-Jaraba , E , Raul Gomez , J , Orrite-Urunuela , C , Medrano , C & Montanes-Laborda , M A 2009 , ' Multicamera sport player tracking with Bayesian estimation of measurements ' Optical Engineering , vol 48 , no. 4 , 047201 , pp. - . DOI: 10.1117/1.3114605

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/3100/3107 #Atomic and Molecular Physics, and Optics #/dk/atira/pure/subjectarea/asjc/2200 #Engineering(all)
Tipo

article