PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Pareto Optimal Sensing Strategies for an Active Vision System
Marc Schoenauer, Enrique Dunn, Gustavo Olague and Evelyne Lutton
In: CEC 2004, 20 JUNE 2004, Portland, USA.


We present a multi-objective methodology, based on evolutionary computation, for solving the sensor planning problem for an active vision system. The application of different representation schemes, that allow to consider either xed or variable size camera networks in a single evolutionary process, is studied. Furthermore, a novel representation of the recombination and mutation operators is brought forth. The developed methodology is incorporated into a 3D simulation environment and experimental results shown. Results validate the exibility and effectiveness of our approach and offer new research alternatives in the eld of sensor planning.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1748
Deposited By:Marc Schoenauer
Deposited On:28 November 2005