Scene Modelling Using An Adaptive Mixture Of Gaussians In Colour And Space

Lógica	Matemáticas	Astronomía y Astrofísica	Física	Química	Ciencias de la Vida
Ciencias de la Tierra y Espacio	Ciencias Agrarias	Ciencias Médicas	Ciencias Tecnológicas	Antropología	Demografía
Ciencias Económicas	Geografía	Historia	Ciencias Jurídicas y Derecho	Lingüística	Pedagogía
Ciencia Política	Psicología	Artes y Letras	Sociología	Ética	Filosofía

Scene modelling using an adaptive mixture of Gaussians in colour and space

1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario
registrado en Universia

Descargar recurso

Detalles del recurso

Pertenece a: Faculty of Technology ePrints Service

Descripción: We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to independently classify each image pixel as either foreground or background. Typically, this level of processing does not take account of the global image structure, resulting in frequent misclassification. We use an adaptive Gaussian mixture model in colour and space to represent background and foreground regions of the scene. This model is used to probabilistically classify observed pixel values, incorporating the global scene structure into pixel-level segmentation. We evaluate our system over 4 sequences and show that it successfully segments foreground pixels and tracks major foreground regions as they move through the scene.

Autor(es): Dickinson, Patrick - Hunter, Andrew -

Id.: 3980855

Versión: 1.0

Estado: Final

Tipo: application/pdf -

Palabras clave: G740 Computer Vision -

Tipo de recurso: Conference or Workshop Item - PeerReviewed -

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante - Profesor - Autor -

Estructura: Atomic

Coste: no

Copyright: sí

Formatos: application/pdf -

Requerimientos técnicos: Browser: Any -

Relación: [References] http://dx.doi.org/10.1109/AVSS.2005.1577244
[References] http://eprints.lincoln.ac.uk/83/

Fecha de contribución: 19-jul-2011

Contacto:

Localización:
* Dickinson, Patrick and Hunter, Andrew (2005) Scene modelling using an adaptive mixture of Gaussians in colour and space. In: IEEE Conference on Advanced Video and Signal based Surveillance, 15-15 Sept 2005, Como, Italy.

Otros recursos del mismo autor(es)

Automatic nesting seabird detection based on boosted HOG-LBP descriptors Seabird populations are considered an important and accessible indicator of the health of marine env...
RESEARCH Open Access Yabi: An online research environment for grid, high performance and cloud computing Background: There is a significant demand for creating pipelines or workflows in the life science di...
A framework for quantitative analysis of user-generated spatial data This paper proposes a new framework for automated analysis of game-play metrics for aiding game desi...
Agent-based crowd simulation in airports using games technology We adapt popular video-games technology for an agent-based crowd simulation framework in an airport ...
Agent-based crowd simulation in airports using games technology We adapt popular video-games technology for an agent-based crowd simulation framework in an airport ...

Otros recursos de la misma colección

Vitamin D and risk of future hypertension: meta-analysis of 283,537 participants The evidence on the association between baseline vitamin D status and risk of incident hypertension ...
Supervised learning of places from range data using AdaBoost This paper addresses the problem of classifying places in the environment of a mobile robot into sem...
Semantic place classification of indoor environments with mobile robots using boosting Indoor environments can typically be divided into places with different functionalities like kitchen...
Speeding-up multi-robot exploration by considering semantic place information In this paper, we consider the problem of exploring an unknown environment with a team of mobile rob...
Simultaneous Localization and Mapping in unmodified environments using stereo vision In this paper we describe an approach that builds three dimensional maps using visual landmarks extr...

Valoración de los usuarios

No hay ninguna valoración para este recurso.Sea el primero en valorar este recurso.