1.

Record Nr.

UNISA996466108903316

Autore

Frintrop Simone

Titolo

VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search [[electronic resource] /] / by Simone Frintrop

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006

ISBN

3-540-32760-6

Edizione

[1st ed. 2006.]

Descrizione fisica

1 online resource (XIV, 216 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 3899

Disciplina

629.8/92637

Soggetti

Artificial intelligence

Optical data processing

Pattern recognition

Computer graphics

Algorithms

Artificial Intelligence

Computer Imaging, Vision, Pattern Recognition and Graphics

Image Processing and Computer Vision

Pattern Recognition

Computer Graphics

Algorithm Analysis and Problem Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1 Introduction -- 2 Background on Visual Attention -- 3 State of the Art of Computational Attention Systems -- 4 The Visual Attention System VOCUS: Bottom-Up Part -- 5 The Visual Attention System VOCUS: Top-Down Extension -- 6 Sensor Fusion -- 7 Attentive Classification -- 8 Conclusion -- A Basics of Computer Vision -- B The Viola-Jones Classifier -- C Explanation of Color Figures.

Sommario/riassunto

Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases. One of the major challenges in designing object recognition systems is



to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research for both biological and artificial systems. This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics.

2.

Record Nr.

UNINA9910702017403321

Titolo

Hearing on National Defense Authorization Act for Fiscal Year 2013 and oversight of previously authorized programs before the Committee on Armed Services, House of Representatives, One Hundred Twelfth Congress, second session [[electronic resource] ] : full committee hearing on budget request from the Department of Defense, hearing held February 15, 2012

Pubbl/distr/stampa

Washington : , : U.S. G.P.O., , 2012

Descrizione fisica

1 online resource (iv, 127 pages) : illustrations

Soggetti

Military planning - United States

Military base closures - United States

United States Armed Forces Appropriations and expenditures

United States Armed Forces Operational readiness

United States Military policy

United States Defenses

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa



Livello bibliografico

Monografia

Note generali

Title from title screen (viewed on Aug. 31, 2012).

Paper version available for sale by the Supt. of Docs., U.S. G.P.O.

"H.A.S.C. no. 112-100."