On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities is popular PDF and ePub book, written by Jens Spehr in 2014-11-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities can be Read Online from any device for your convenience.
On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities Book PDF Summary
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.
Detail Book of On Hierarchical Models for Visual Recognition and Learning of Objects Scenes and Activities PDF
- Author : Jens Spehr
- Release : 19 November 2014
- Publisher : Springer
- ISBN : 3319113267
- Genre : Technology & Engineering
- Total Page : 199 pages
- Language : English
- PDF File Size : 11,7 Mb
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