On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
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 expl...
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| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57717 |
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oai:scholar.dlu.edu.vn:DLU123456789-577172023-11-11T05:50:51Z On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities Spehr, Jens Image processing Digital techniques Optical pattern recognition 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. 2015-08-21T08:48:38Z 2015-08-21T08:48:38Z 2015 Book 978-3-319-11325-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57717 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Image processing Digital techniques Optical pattern recognition |
| spellingShingle |
Image processing Digital techniques Optical pattern recognition Spehr, Jens On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| description |
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. |
| format |
Book |
| author |
Spehr, Jens |
| author_facet |
Spehr, Jens |
| author_sort |
Spehr, Jens |
| title |
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| title_short |
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| title_full |
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| title_fullStr |
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| title_full_unstemmed |
On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities |
| title_sort |
on hierarchical models for visual recognition and learning of objects, scenes, and activities |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57717 |
| _version_ |
1819795347002621952 |