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Titolo:
Model-based stereo-visual tracking: Covariance analysis and tracking schemes
Autore:
Ruiz-Alzola, J; Alberola-Lopez, C; Corredera, JRC;
Indirizzi:
Univ Las Palmas GC, Dep Senales & Comunicac, Las Palmas Gran Canaria, Spain Univ Las Palmas GC Las Palmas Gran Canaria Spain as Gran Canaria, Spain
Titolo Testata:
SIGNAL PROCESSING
fascicolo: 1, volume: 80, anno: 2000,
pagine: 23 - 43
SICI:
0165-1684(200001)80:1<23:MSTCAA>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
RADAR TRACKING; MOTION;
Keywords:
stereo vision; moving light displays (MLDs); 3D reconstruction covariance matrix; eigenanalysis; tracking; Kalman filter; decoupled tracking; principal coordinates;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Alberola-Lopez, C Univ Valladolid, ETSI Telecomunicac, E-47002 Valladolid,Spain Univ Valladolid Valladolid Spain E-47002 adolid, Spain
Citazione:
J. Ruiz-Alzola et al., "Model-based stereo-visual tracking: Covariance analysis and tracking schemes", SIGNAL PROC, 80(1), 2000, pp. 23-43

Abstract

This paper addresses the problem of target tracking in stereo images from two perspectives. Initially, we carry out an eigenanalysis of the covariance matrix of the reconstruction error for a simple but realistic case. The analysis gives insight into the problem and it also leads naturally to the second issue addressed in the paper, namely, the analysis and design of variations of the well-known Extended Kalman filter. These variations are a trade-off between performance and computational complexity. A deep study of the conditions under which every alternative works correctly is developed. Our conclusions are supported by a number of Monte Carlo simulations using the stereo scheme proposed in the first part of the paper. (C) 2000 Elsevier Science B.V. All rights reserved.

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Documento generato il 09/07/20 alle ore 20:53:16