Video-Based Human Behavior Understanding: A Survey

Understanding human behaviors is a challenging problem in computer vision that has recently seen important advances. Human behavior understanding combines image and signal processing, feature extraction, machine learning, and 3-D geometry. Application scenarios range from surveillance to indexing an...

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Vydané v:IEEE transactions on circuits and systems for video technology Ročník 23; číslo 11; s. 1993 - 2008
Hlavní autori: Borges, Paulo Vinicius Koerich, Conci, Nicola, Cavallaro, Andrea
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.11.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Applied sciences
Artificial intelligence
Behavior
Behavior analysis
Behavioral science
Computer science; control theory; systems
Computer vision
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Feature extraction
Hidden Markov models
human detection
Image processing
Information, signal and communications theory
Pattern recognition. Digital image processing. Computational geometry
Services and terminals of telecommunications
Signal and communications theory
Signal processing
Signal, noise
Support vector machines
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
video analysis
Computer vision
Range finding
Image processing
human detection
Behavior analysis
Coverage
video analysis
Image analysis
Aspect oriented
Signal processing
Feature extraction
Safety
Motion analysis
Artificial intelligence
Comparative study
Monitoring
Indexing
ISSN:1051-8215, 1558-2205
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Popis
Shrnutí:Understanding human behaviors is a challenging problem in computer vision that has recently seen important advances. Human behavior understanding combines image and signal processing, feature extraction, machine learning, and 3-D geometry. Application scenarios range from surveillance to indexing and retrieval, from patient care to industrial safety and sports analysis. Given the broad set of techniques used in video-based behavior understanding and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguous key terms, and discuss links among fundamental building blocks ranging from human detection to action and interaction recognition. The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects of video-based human behavior understanding, available datasets for experimentation and comparisons, and important open research issues.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2013.2270402