BCN Perceptual Computing Lab Repository

Evolutionary Object Detection by means of Naïve Bayes Models Estimation

Baró, Xavier and Vitrià, Jordi (2008) Evolutionary Object Detection by means of Naïve Bayes Models Estimation. Lecture Notes in Computer Science, 4974 . pp. 235-244. ISSN 0302-9743

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This paper describes an object detection approach based on the use of Evolutionary Algorithms based on Probability Models(EAPM). First a parametric object detection schema is de¯ned, and formulated as an optimization problem. The new problem is faced using a new EAPM based on Naïve Bayes Models estimation is used to find good features. The result is an evolutionary visual feature selector that is embedded into the Adaboost algorithm in order to build a robust detector. The final system is tested over different object detection problems obtaining very promising results.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:15
Deposited By:Xavier Baró
Deposited On:12 Jun 2009 17:38
Last Modified:29 Nov 2010 17:52

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