CONTEXT IN ROBOTIC VISION: CONTROL FOR REAL-TIME ADAPTATION

Paolo Lombardi, Virginio Cantoni, Bertrand Zavidovique

2004

Abstract

Nowadays, the computer vision community conducts an effort to produce canny systems able to tackle unconstrained environments. However, the information contained in images is so massive that fast and reliable knowledge extraction is impossible without restricting the range of expected meaningful signals. Inserting a priori knowledge on the operative “context” and adding expectations on object appearances are recognized today as a feasible solution to the problem. This paper attempts to define “context” in robotic vision by introducing a summarizing formalization of previous contributions by multiple authors. Starting from this formalization, we analyze one possible solution to introduce context-dependency in vision: an opportunistic switching strategy that selects the best fitted scenario among a set of pre-compiled configurations. We provide a theoretical framework for “context switching” named Context Commutation, grounded on Bayesian theory. Finally, we describe a sample application of the above ideas to improve video surveillance systems based on background subtraction methods.

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Paper Citation


in Harvard Style

Lombardi P., Cantoni V. and Zavidovique B. (2004). CONTEXT IN ROBOTIC VISION: CONTROL FOR REAL-TIME ADAPTATION . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-12-0, pages 135-142. DOI: 10.5220/0001143601350142

in Bibtex Style

@conference{icinco04,
author={Paolo Lombardi and Virginio Cantoni and Bertrand Zavidovique},
title={CONTEXT IN ROBOTIC VISION: CONTROL FOR REAL-TIME ADAPTATION},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2004},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001143601350142},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - CONTEXT IN ROBOTIC VISION: CONTROL FOR REAL-TIME ADAPTATION
SN - 972-8865-12-0
AU - Lombardi P.
AU - Cantoni V.
AU - Zavidovique B.
PY - 2004
SP - 135
EP - 142
DO - 10.5220/0001143601350142