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作者 Spehr, Jens, author
書名 On hierarchical models for visual recognition and learning of objects, scenes, and activities / by Jens Spehr
出版項 Cham : Springer International Publishing : Imprint: Springer, 2015
國際標準書號 9783319113258 (electronic bk.)
9783319113241 (paper)
國際標準號碼 10.1007/978-3-319-11325-8 doi
book jacket
說明 1 online resource (xvi, 199 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Studies in systems, decision and control, 2198-4182 ; volume 11
Studies in systems, decision and control ; volume 11
附註 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
Springer
Host Item Springer eBooks
主題 Image processing -- Digital techniques
Optical pattern recognition
Engineering
Robotics and Automation
Computational Intelligence
Image Processing and Computer Vision
Pattern Recognition
Alt Author SpringerLink (Online service)
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