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Model-based Visual Tracking - The OpenTL Framework

Model-based Visual Tracking - The OpenTL Framework

 eBook, Published by Wiley   (12 April 2011)

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Book description

This book has two main goals: to provide a unifed and structured overview of this growing field, as well as to propose a corresponding software framework, the OpenTL library, developed by the author and his working group at TUM-Informatik.

The main objective of this work is to show, how most real-world application scenarios can be naturally cast into a common description vocabulary, and therefore implemented and tested in a fully modular and scalable way, through the defnition of a layered, object-oriented software architecture. The resulting architecture covers in a seamless way all processing levels, from raw data acquisition up to model-based object detection and sequential localization, and defines, at the application level, what we call the tracking pipeline. Within this framework, extensive use of graphics hardware (GPU computing) as well as distributed processing, allows real-time performances for complex models and sensory systems. Giorgio Panin, PhD, is an Assistant Professor at the Technical University of Munich. His research focuses on robotics and embedded systems, with an emphasis on computer vision and object tracking for human-machine interaction, robot manipulation, and navigation tasks.