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Studies in Systems, Decision and Control

On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities

Authors: Spehr, Jens

  • Provides important basic concepts, efficient methods as well as practical "how-to" examples for the use of hierarchical graphical models
  • Discusses the importance and the relationship between sharing and similarity of objects and object parts for efficient recognition and learning approaches
  • Comprehensive survey of related work divided in categories such as part-based, compositional or biologically inspired models
  • Includes a brief review of probabilistic graphical models
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-11325-8
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Hardcover $129.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-319-11324-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-35862-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model the environment of the vehicle for an efficient and robust interpretation of the scene in real-time.

Table of contents (9 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-11325-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-319-11324-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-35862-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
Authors
Series Title
Studies in Systems, Decision and Control
Series Volume
11
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-11325-8
DOI
10.1007/978-3-319-11325-8
Hardcover ISBN
978-3-319-11324-1
Softcover ISBN
978-3-319-35862-8
Series ISSN
2198-4182
Edition Number
1
Number of Pages
XV, 199
Number of Illustrations and Tables
92 b/w illustrations, 15 illustrations in colour
Topics