Learning and Probabilistic Methods for Visual Servoing and Tracking: An Optimization Approach - Couverture souple

Abdul Hafez, Abdul Hafez

 
9783639719208: Learning and Probabilistic Methods for Visual Servoing and Tracking: An Optimization Approach
Couverture souple
ISBN 10 : 3639719204 ISBN 13 : 9783639719208
Editeur : Scholars' Press, 2014

Synopsis

The long term dream of robotic research is to develop systems with the abilities to carry out tasks in highly complex and dynamic everyday environments like home or office. To realize this dream, it is important to improve the sensory capabilities of the robots. Vision has proved to be the most versatile sensor for robotic applications. Computer vision algorithms have successfully been used to control a variety of dynamic systems including manipulator arms, mobile robots, autonomous, and underwater vehicles. Using visual feedback to close the control loop of robot arm is now referred to as visual servoing. Visual tracking in image sequences is an important topic of research in visual servoing and general robot vision applications. Robust extraction and real-time visual tracking of visual cues is indeed one of the keys to success of a visual servoing task. This book presents visual servoing and tracking algorithms based on probabilistic and learning techniques. First, different types of information, 2D and 3D, are integrated in the feature space and action space. Second, visual tracking algorithms are presented to provide visual feedback via robust visual cues.

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Présentation de l'éditeur

The long term dream of robotic research is to develop systems with the abilities to carry out tasks in highly complex and dynamic everyday environments like home or office. To realize this dream, it is important to improve the sensory capabilities of the robots. Vision has proved to be the most versatile sensor for robotic applications. Computer vision algorithms have successfully been used to control a variety of dynamic systems including manipulator arms, mobile robots, autonomous, and underwater vehicles. Using visual feedback to close the control loop of robot arm is now referred to as visual servoing. Visual tracking in image sequences is an important topic of research in visual servoing and general robot vision applications. Robust extraction and real-time visual tracking of visual cues is indeed one of the keys to success of a visual servoing task. This book presents visual servoing and tracking algorithms based on probabilistic and learning techniques. First, different types of information, 2D and 3D, are integrated in the feature space and action space. Second, visual tracking algorithms are presented to provide visual feedback via robust visual cues.

Biographie de l'auteur

A. H. Abdul Hafez is an Assistant Professor at Hasan Kalyoncu University, Gaziantep, Turkey. He completed his PhD in Computer Science and Engineering (2008) from Osmania University, jointly with IIIT Hyderabad, India. His present areas of research include robotic vision, machine learning, and vision-based control.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2014
Langue
anglais
ISBN 10 
3639719204
ISBN 13 
9783639719208
Reliure
Broché
Nombre de pages
236
Coordonnées du fabricant
non disponible
Personne responsable
non disponible