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Semantic analysis and understanding of human behavior in video streaming / Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri



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Creatore: Amato, Alberto Visualizza persona
Titolo: Semantic analysis and understanding of human behavior in video streaming / Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri
Link to work: Semantic analysis and understanding of human behavior in video streaming Visualizza cluster
Pubblicazione: New York, NY : Springer, ©2013
Estensione: 1 online resource : illustrations
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 004.01/9
Genere/Forma: Electronic books
Index term-Uncontrolled: Computer science
Multimedia systems
Artificial intelligence
Computer vision
Optical pattern recognition
Image Processing and Computer Vision
Multimedia Information Systems
User Interfaces and Human Computer Interaction
Pattern Recognition
Soggetto non controllato: Computer science
Multimedia systems
Artificial intelligence
Computer vision
Optical pattern recognition
Image Processing and Computer Vision
Multimedia Information Systems
User Interfaces and Human Computer Interaction
Pattern Recognition
Termine d'indicizzazione-Occupazione: Computer science
Multimedia systems
Artificial intelligence
Computer vision
Optical pattern recognition
Image Processing and Computer Vision
Multimedia Information Systems
User Interfaces and Human Computer Interaction
Pattern Recognition
Classificazione: 53.78
54.59
Classificazione LOC: QA76.9.H85 A43 2013
Creatori/Collaboratori: Di Lecce, Vincenzo
Piuri, Vincenzo
Contenuto supplementare: Includes bibliographical references.
Nota di contenuto: Sensors for Human Behavior Analysis -- Related Work -- Sensor Data Interpretation for Symbolic Analysis -- Semantic Analysis -- Evaluation of the Proposed Methodology -- Conclusions.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
Sommario/riassunto: Semantic Analysis and Understanding of Human Behaviour in Video Streaming investigates the semantic analysis of the human behaviour captured by video streaming, and introduces both theoretical and technological points of view. Video analysis based on the semantic content is in fact still an open issue for the computer vision research community, especially when real-time analysis of complex scenes is concerned. 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 and engineering.
ISBN: 9781461454861
1461454867
1461454859
9781461454854
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 005076919
Localizzazioni e accesso elettronico http://proxy.library.nyu.edu/sso/skillport?context=76625
Collocazione: Electronic access
Lo trovi qui: New York University
Altra ed. diverso supporto: Print version: Amato, Alberto. Semantic analysis and understanding of human behavior in video streaming. New York, NY : Springer, [2013] 9781461454854 (DLC) 2012945472