Computer Vision and Action Recognition [recurso electrónico] : A Guide for Image Processing and Computer Vision Community for Action Understanding / by Md. Atiqur Rahman Ahad.

Por: Ahad, Md. Atiqur Rahman [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Atlantis Ambient and Pervasive Intelligence ; 5Editor: Paris : Atlantis Press, 2011Descripción: XXI, 211 p. 43 illus., 33 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789491216206Tema(s): Computer science | Computer vision | Optical pattern recognition | Computer aided design | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer Vision | Pattern Recognition | Computer-Aided Engineering (CAD, CAE) and DesignFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.6 Clasificación LoC:T385TA1637-1638TK7882.P3Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Low-level Image Processing for Action Representations -- Action Representation Approaches -- MHI – A Global-based Generic Approach -- Shape Representation and Feature Vector Analysis -- Action Datasets.-Challenges Ahead.
En: Springer eBooksResumen: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos T385 (Browse shelf(Abre debajo)) 1 No para préstamo 378764-2001

Introduction -- Low-level Image Processing for Action Representations -- Action Representation Approaches -- MHI – A Global-based Generic Approach -- Shape Representation and Feature Vector Analysis -- Action Datasets.-Challenges Ahead.

Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.

19

Con tecnología Koha