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

Jens Spehr (Autor)

Buch | Softcover

XV, 199 Seiten

2016 | Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-35862-8 (ISBN)

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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.

Introduction.- Probabilistic Graphical Models.- Hierarchical Graphical Models.- Learning of Hierarchical Models.-Object Recognition.- Human Pose Estimation.- Scene Understanding for Intelligent Vehicles.- Conclusion.

Erscheinungsdatum	12.10.2016
Reihe/Serie	Studies in Systems, Decision and Control
Zusatzinfo	XV, 199 p. 107 illus., 15 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Maschinenbau
Schlagworte	activity recognition • Artificial Intelligence • Compositional Hierarchies • Computational Intelligence • computer vision • Engineering • Engineering: general • Human-Robot Interaction • Image Processing • image processing and computer vision • Intelligent Vehicles Probabilistic Graphical Model • Intelligent Vehicles Probabilistic Graphical Models • Mobile Robots • Object recognition • pattern recognition • Robotics • Robotics and Automation • Robot vision • Scene Understanding • Similarity Hierarchies
ISBN-10	3-319-35862-6 / 3319358626
ISBN-13	978-3-319-35862-8 / 9783319358628
Zustand	Neuware