Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With's Advanced Concepts for Intelligent Vision Systems: 11th PDF

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By Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)

ISBN-10: 3642046967

ISBN-13: 9783642046964

ISBN-10: 3642046975

ISBN-13: 9783642046971

This publication constitutes the refereed court cases of the eleventh foreign convention on complicated techniques for clever imaginative and prescient structures, ACIVS 2009, held in Bordeaux, France in September/October 2009.

The forty three revised complete papers and 25 posters awarded have been conscientiously reviewed and chosen from one hundred fifteen submissions. The papers are equipped in topical sections on technovision, basic mathematical thoughts, photograph processing, coding and filtering, photograph and video research, laptop imaginative and prescient, monitoring, colour, multispectral and special-purpose imaging, scientific imaging, and biometrics.

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Read or Download Advanced Concepts for Intelligent Vision Systems: 11th International Conference, ACIVS 2009, Bordeaux, France, September 28–October 2, 2009. Proceedings PDF

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Additional info for Advanced Concepts for Intelligent Vision Systems: 11th International Conference, ACIVS 2009, Bordeaux, France, September 28–October 2, 2009. Proceedings

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The performance of the modular PCA in degraded scenarios is equivalent to the global PCA. This can be explained by the fact that the regions used to learn the different spaces of the local classifiers correspond only to one type of faces taken under a maximum illumination with a high resolution camera. 4 Conclusions and Perspectives In this paper five appearance based methods are evaluated on the IV2 database. The results confirm the state of art: the LDA performs well in controlled scenarios, the choice of the training set for PCA analysis is very important for the quality of algorithms generalization and performance quickly decrease with the wide range of variabilities to be handled.

Here, the condition that the fire pixels correspond to IR ≥ IG > IB used in [9] is verified. The second color space studied for fire is the HSI (Hue-Saturation-Intensity). This model is based on human color perception. The channel H takes values from 0◦ to 360◦ , the channel S between 0 and 100% and the channel I from 0 to 255. Because of the range of colors from red to yellow for fire, we expect that flame pixels are distributed from 0◦ to 70◦ on the channel H. The part of the Hue distribution from 300◦ to 360◦ , which represents colors from pink to red, is also interesting.

As each technique includes one or several parameters, we have first obtained the best set of parameters for every scenario, according to some selected quality measures. Then, we have applied all the techniques to all the considered sequences in order to obtain a quantitative and qualitative evaluation of their performance. In this sense, Section 2 presents the selected BGS techniques and their most relevant parameters. Section 3 discusses the evaluation methodology to compare the selected techniques describing the dataset, the quality metrics, and the selection of technique parameters.

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Advanced Concepts for Intelligent Vision Systems: 11th International Conference, ACIVS 2009, Bordeaux, France, September 28–October 2, 2009. Proceedings by Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N. de With (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)


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