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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities/ by Jens Spehr.
作者:	Spehr, Jens.
面頁冊數:	XV, 199 p. 107 illus., 92 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Robotics. -
電子資源:	https://doi.org/10.1007/978-3-319-11325-8
ISBN:	9783319113258

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

On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities[electronic resource] /by Jens Spehr. - 1st ed. 2015. - XV, 199 p. 107 illus., 92 illus. in color.online resource. - Studies in Systems, Decision and Control,112198-4182 ;. - Studies in Systems, Decision and Control,27.

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

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.

ISBN: 9783319113258

Standard No.: 10.1007/978-3-319-11325-8doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

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