Component based recognition of objects in an office environment

We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity of their image features and their locations within the object image. The cluster centers build an initial set of component templates from which we select a subset for the final recognizer. In experiments we evaluate different sizes and types of components and three standard techniques for component selection. The component classifiers are finally compared to global classifiers on a database of four objects.

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

Embedding objects into Matlab/Simulink for process supervision

This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. The idea is to take advantage of an existing CACSD framework, Matlab/Simulink, so that engineers can proceed: first to design a control system, and then to design a straightforward supervisory system of the control system in the same framework. Thus, expert systems and qualitative reasoning tools are incorporated into this popular CACSD framework to develop a computer aided supervisory system design (CASSD) framework. Object-variables an introduced into Matlab/Simulink for sharing information between tools

CETL's Re-Usable Learning Objects

Completed, available and free to use Learning Objects listed by subject area

Lecture 3 - Objects Ahoy

Variables - Objects and Primitives, Quick look at scope

Learning Objects at CIPeL

The Centre for Inter-Professional e-Learning (CIPeL) at Coventry University provides a number of useful reusable learning objects.

JavaScript Prototypes, Objects and Classes

The full story on the JavaScript object model, and how prototypes are used instead of classes

Intute Reusable Learning Objects

These are the Reusable Learning Objects (RLOs) that Intute have evaluated and added to their nursing and midwifery section. If you search for 'rlo' you'll get a list of over 60 RLOs, they are mostly related to A&P but some of them are about research skills and referencing...

Programming Principles: Variables, Primitives, Objects and Scope

In this session we look more closely at the way that Java deals with variables, and in particular with the differences between primitives (basic types like int and char) and objects. We also take an initial look at the scoping rules in Java, which dictate the visibility of variables in your program

Learning Objects, Interoperability and Standards

An introduction/overview to the whole issue of learning objects, interoperability and IMS specifications in Learning Technology

Formative-1-Projecting-3D-Objects - Storyline

Formative exercise on projecting 3D objects for FEEG1001 students.

Los Hot Spots: ¿Una alternativa para reducir los niveles de delincuencia en Bogotá?

El interés de esta monografía es analizar la incidencia de la estrategia de seguridad ciudadana de los Hot Spots en los niveles de delincuencia de Bogotá durante el periodo de la Alcaldía de Samuel Moreno 2009-2011, tomando como casos de estudio la Avenida 19 y la Zona Rosa (Chicó El Lago). Esta investigación se realiza desde los conceptos teórico-prácticos que ha arrojado el modelo de Hot Spot tras su aplicación en 18 ciudades del mundo, y que sirven como herramienta para analizar las transformaciones del delito en las zonas de estudio. De esta manera se avanza hacia el resultado que permite identificar los factores que impidieron que el modelo de Hot Spots se formulara y ejecutara efectivamente y por lo tanto no disminuyera los niveles de delincuencia en Bogotá.

Los spots audiovisuales en la campaña electoral de Horacio Serpa en las elecciones presidenciales de 2002 en Colombia y su incidencia sobre la favorabilidad de imagen del candidato

El presente trabajo se propone demostrar que la publicidad política audiovisual utilizada por la campaña de Horacio Serpa no alcanzó a generar el efecto positivo necesario para posicionar favorablemente su imagen frente a los electores, ya que los temas tratados por sus spots audiovisuales no lograron sintonizarse con la agenda pública. Para efectos de esta investigación, y por motivos de acceso a la información, en una parte del estudio la favorabilidad de imagen del candidato será analizada en función de su relación con la intención de voto de los ciudadanos.

Ambiente, figura y actio de las mujeres en los spots del siglo xx.

Resumen tomado de la publicación