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On hierarchical models for visual recognition and learning of objects, scenes, and activities[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.6
書名/作者:	On hierarchical models for visual recognition and learning of objects, scenes, and activities/ by Jens Spehr.
作者:	Spehr, Jens.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xvi, 199 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Pattern Recognition.
標題:	Image processing - Digital techniques.
標題:	Optical pattern recognition.
標題:	Engineering.
標題:	Robotics and Automation.
標題:	Computational Intelligence.
標題:	Image Processing and Computer Vision.
ISBN:	9783319113258 (electronic bk.)
ISBN:	9783319113241 (paper)
內容註:	Introduction -- Probabilistic Graphical Models -- Hierarchical Graphical Models -- Learning of Hierarchical Models.-Object Recognition -- Human Pose Estimation -- Scene Understanding for Intelligent Vehicles -- Conclusion.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-11325-8

On hierarchical models for visual recognition and learning of objects, scenes, and activities[electronic resource] /
Spehr, Jens.

On hierarchical models for visual recognition and learning of objects, scenes, and activities[electronic resource] /by Jens Spehr. - Cham :Springer International Publishing :2015. - xvi, 199 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v.112198-4182 ;. - Studies in systems, decision and control ;v.7..

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 (electronic bk.)

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

463916
Pattern Recognition.

LC Class. No.: TA1637

Dewey Class. No.: 006.6

On hierarchical models for visual recognition and learning of objects, scenes, and activities[electronic resource] /
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