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Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90302115th International Conference on Patt ...
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João P. Barreto, Jorge Batista, Helder Araújo, "Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets," Pattern Recognition, International Conference on, vol. 4, pp. 4732, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903021,
author = {João P. Barreto and Jorge Batista and Helder Araújo},
title = {Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2000},
isbn = {0-7695-0750-6},
pages = {4732},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903021},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets
SN - 0-7695-0750-6
SP
EP
A1 - João P. Barreto,
A1 - Jorge Batista,
A1 - Helder Araújo,
PY - 2000
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
João P. Barreto, University of Coimbra
Jorge Batista, University of Coimbra
Helder Araújo, University of Coimbra
This paper deals with active tracking of 3D moving targets. Visual tracking is presented as a regulation control problem. The performance and robustness in visual control of motion depends on both the vision algorithms and the control structure. Delays and system latencies substantially affect the performance of visually guided systems. In this paper, we discuss ways to cope with delays while improving system performance. Model predictive control strategies are proposed to compensate for the mechanical latency in visual control of motion.
Citation:
João P. Barreto, Jorge Batista, Helder Araújo, "Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets," icpr, vol. 4, pp.4732, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000
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