Robust Motion Detection in Real-Life Scenarios

Idioma: inglés

Editorial: Springer, 2012

1447142152 / 9781447142157

Serie: Libro 36 de 322 - SpringerBriefs in Computer Science

  • Tapa blanda
  • Nuevo
Ver todos los detalles

Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

Vendedor de 5 estrellas

Vendedor de IberLibro desde 14 de agosto de 2006

Tapa blanda

Condición: Nuevo

EUR 66,40

Envío por EUR 35,00 
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponible

Añadir al carrito
Devoluciones gratuitas de 30 días

Descripción del artículo del vendedor

Druck auf Anfrage Neuware - Printed after ordering - Our knowledge of the surrounding world is obtained by our senses of perception. Among them, vision is undoubtedly the most important for the information it can provide. In artificial systems, this discipline, known as Computer Vision, mainly tries to identify physical objects and scenes from captured images to be able to make useful decisions. For that, the processing and analysis of images, video sequences, views from multiple cameras, or multi-dimensional data like a medical scanner, are carried out.In this context, motion plays a main role since it provides a stimulus for detecting objects in movement within the observed scene. Moreover, motion allows other characteristics to be obtained such as, for instance, object shape, speed or trajectory, which are meaningful for detection and recognition. Nevertheless, the motion observable in a visual input could be due to different factors: movement of the imaged objects (targets and/or vacillating background elements), movement of the observer, motion of the light sources or a combination of (some of) them. Therefore, image analysis for motion detection will be conditional upon the considered factors. In particular, in this work, there is a focus on motion detection from images captured by perspective and fisheye still cameras. As cameras are still, ego-motion is not considered, although all the other factors can occur at any time.With that assumption, the work proposes a complete sensor-independent visual system which provides robust target motion detection. So, firstly, the way sensors obtain images of the world, in terms of resolution distribution and pixel neighbourhood, is studied. In that way, a proper spatial analysis of motion can be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. On this matter, two different situations are considered: (1) a fixed camera observing a constant background where interest objects are moving; and, (2) a still camera observing interest objects in movement within a dynamic background. The reason for this distinction lies on developing, from the first analysis, a surveillance mechanism which removes the constraint of observing a scene free of foreground elements during several seconds when a reliable initial background model is obtained, since that situation cannot be guaranteed when a robotic system works in an unknown environment. Furthermore, on the way to achieve an ideal background maintenance system, other canonical problems are addressed such that the proposed approach successfully deals with (gradual and global) changes in illumination, the distinction between foreground and background elements in terms of motion and motionless, and non-uniform vacillating backgrounds.In this context, motion plays a main role since it provides a stimulus for detecting objects in movement within the observed scene. Moreover, motion allows other characteristics to be obtained such as, for instance, object shape, speed or trajectory, which are meaningful for detection and recognition. Nevertheless, the motion observable in a visual input could be due to different factors: movement of the imaged objects (targets and/or vacillating background elements), movement of the observer, motion of the light sources or a combination of (some of) them. Therefore, image analysis for motion detection will be conditional upon the considered factors. In particular, in this work, there is a focus on motion detection from images captured by perspective and fisheye still cameras. As cameras are still, ego-motion is not considered, although all the other factors can occur at any time.With that assumption, the work proposes a complete sensor-independent visual system which provides robust target motion detection. So, firstly, the way sensors obtain images of the world, in terms of resolution distribution and pixel neighbourhood, is studied. In that way, a proper spati.…

N° de ref. del artículo 9781447142157

Título
Robust Motion Detection in Real-Life Scenarios
Autor
Ester Martínez-Martín
Editorial
Springer
Año de publicación
2012
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
1447142152
ISBN 13
9781447142157
Peso del artículo
195 gramos
Dimensiones
235x155x7 mm
Serie
Libro 36 de 322: SpringerBriefs in Computer Science

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 14 de agosto de 2006

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 7 a 10 días hábilesDe 5 a 7 días hábiles
Primer artículoEUR 35,00EUR 45,00
Los plazos de entrega los establecen los vendedores y varían según el transportista y la ubicación. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relación con cargos adicionales para cubrir cualquier aumento en los costes de envío de los artículos.

Métodos de pago

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Cheque
  • Giro bancario
  • PayPal

Descripción de la tienda

Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.

Especialidad

Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & Studium

Información empresarial del vendedor

AHA-BUCH GmbH

Garlebsen 48
Einbeck, Alemania 37574

IImprint

Información del vendedor

AHA-BUCH GmbH
representado por el director gerente Christel Glass
Garlebsen 48
37574 Einbeck
Alemania
Teléfono: 055639996039
Fax: 055639995974
E-Mail: abebooks@aha-buch.de
USt-IdNr.: DE261904229
Inscrita en el Registro Mercantil Amtsgerichtes Göttingen
Handelsregisternummer HRB 200691

Resolución alternativa de conflictos:
La Comisión Europea proporciona una plataforma para la resolución extrajudicial de litigios en línea (plataforma ODR), a la que se puede acceder en https://ec.europa.eu/odr.

Somos miembros de la iniciativa "FairCommerce" desde el 25.05.2018.
Para obtener más información, consulte www.fair-commerce.de.