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

Language: English

Published by Scholars' Press, 2014

3639719204 / 9783639719208

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783639719208

Title
Learning and Probabilistic Methods for Visual Servoing and Tracking : An Optimization Approach
Author
Abdul Hafez Abdul Hafez
Publisher
Scholars' Press
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639719204
ISBN 13
9783639719208
Item weight
369 grams
Dimensions
220x150x15 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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