Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning and Probabilistic Methods for Visual Servoing and Tracking

Learning and Probabilistic Methods for Visual Servoing and Tracking

Abdul Hafez Abdul Hafez

Paperback

General Computers

ISBN10: 3639719204
ISBN13: 9783639719208
Publisher: Blues Kids Of Amer
Published: Jun 30 2014
Pages: 236
Weight: 0.77
Height: 0.54 Width: 6.00 Depth: 9.00
Language: English
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.

Also in

General Computers

View All