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On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities / / by Jens Spehr



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Autore: Spehr Jens Visualizza persona
Titolo: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities / / by Jens Spehr Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (210 p.)
Disciplina: 006.3
006.37
006.4
006.6
Soggetto topico: Robotics
Automation
Computational intelligence
Optical data processing
Pattern recognition
Robotics and Automation
Computational Intelligence
Image Processing and Computer Vision
Pattern Recognition
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Probabilistic Graphical Models -- Hierarchical Graphical Models -- Learning of Hierarchical Models.-Object Recognition -- Human Pose Estimation -- Scene Understanding for Intelligent Vehicles -- Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities  Visualizza cluster
ISBN: 3-319-11325-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299854403321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Systems, Decision and Control, . 2198-4182 ; ; 11