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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
This book explores an innovative, original approach to human behaviour analysis and understanding by using the syntactical symbolic analysis of images and video streaming described by means of strings of symbols. A symbol is associated to each area of the analyzed scene. When a moving object enters an area, the corresponding symbol is appended to the string describing the motion. This approach allows for characterizing the motion of a moving object with a word composed by symbols. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature both of the representations and the related operations used to manipulate them. Besides, the structure of the representations is well suited for possible parallel processing, thus allowing for speeding up the analysis when appropriate hardware architectures are used. A new methodology for design systems for hierarchical high semantic level analysis of video streaming in narrow domains is also proposed. Guidelines to design your own system are provided in this book.
Designed for practitioners, computer scientists and engineers working within the fields of human computer interaction, surveillance, image processing and computer vision, this book can also be used as secondary text book for advanced-level students in computer science andengineering.
Keywords
- Computer vision
- Content based image analysis
- Correspondence problem in multi camera system
- Grammars and languages
- Hierarchical analysis
- Human behavior recognition in video streaming
- Human behavior understanding in video streaming
- Multi camera system
- Narrow domain analysis
- Self organizing maps
- Syntactic analysis
- Video streaming analysis
Authors and Affiliations
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Politecnico di Bari, Taranto, Italy
Alberto Amato, Vincenzo Di Lecce
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Università degli Studi di Milano, Crema, Italy
Vincenzo Piuri
Bibliographic Information
Book Title: Semantic Analysis and Understanding of Human Behavior in Video Streaming
Authors: Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri
DOI: https://doi.org/10.1007/978-1-4614-5486-1
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5485-4
Softcover ISBN: 978-1-4899-9699-2
eBook ISBN: 978-1-4614-5486-1
Edition Number: 1
Number of Pages: XII, 108
Topics: Image Processing and Computer Vision, Multimedia Information Systems, User Interfaces and Human Computer Interaction, Pattern Recognition, Artificial Intelligence