Download Advanced Concepts for Intelligent Vision Systems: 7th by W. Ketchantang, S. Derrode, S. Bourennane, L. Martin PDF

By W. Ketchantang, S. Derrode, S. Bourennane, L. Martin (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)

This publication constitutes the refereed complaints of the seventh foreign convention on complex techniques for clever imaginative and prescient structures, ACIVS 2005, held in Antwerp, Belgium in September 2005.

The ninety revised complete papers offered have been rigorously reviewed and chosen from round two hundred submissions. The papers are geared up in topical sections on biometrics, category and popularity, content material and function characterization, photo and video research, photo and video coding, photo and video segmentation, clinical photograph processing purposes, movement estimation and monitoring, noise relief and restauration, and real-time processing and hardware.

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Extra info for Advanced Concepts for Intelligent Vision Systems: 7th International Conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005. Proceedings

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Note that using the C-PSC outperforms all other approaches. Furthermore, due to the simplicity of the training and matching procedure of PSC, the C-PSC scheme is very efficient and its computation cost increases linearly with the size of the face gallery. In our implementation of C-PSC, it takes 300ms for one match given the gallery size as specified above. 5 Conclusions In this paper, we proposed a cascaded face recognition framework using a series of adaptive classifiers. During each stage, a refined classification is performed on a selective set of promising candidates, achieving an optimized discrimination for this specific group of people.

A novel image-registration method is presented which is applicable to multi-camera systems viewing human subjects in motion. The method is suitable for use with indoor or outdoor surveillance scenes. The paper summarizes an efficient walk-detection and biometric method for extraction of image characteristics which enables the walk properties of the viewed subjects to be used to establish corresponding image-points for the purpose of imageregistration between cameras. The leading leg of the walking subject is a good feature to match, and the presented method can identify this from two successive walk-steps (one walk cycle).

Left: Marginal diversity of feature xi for person k. Right: Feature selection using equi-probability histograms. the features are selected based on maximum discrimination between all classes, we aim to select a subset of features Fk (Fk ⊂ F), such that Fk provides optimal discrimination especially for class (person) k. Our experimental evidence shows that this one-versus-all selection offers a significantly better performance than using the approach from [6]. Following the same principle of MMD, we give the guideline for selecting the best feature set for class k.

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