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» Bayesian Framework for Video Surveillance Application
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ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Real-time scalable video codec implementation for surveillance
In this paper, we discuss the design and real-time implementation of a Scalable Video Codec (SVC) for surveillance applications. We present a complexity-scalable temporal wavelet ...
Marijn J. H. Loomans, Cornelis J. Koeleman, Peter ...
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
ICIP
2003
IEEE
14 years 10 months ago
A Bayesian framework for Gaussian mixture background modeling
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol
ICIP
2005
IEEE
14 years 10 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
CVIU
2006
317views more  CVIU 2006»
13 years 8 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid