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ICCV
2003
IEEE
16 years 1 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
CSFW
2008
IEEE
15 years 6 months ago
Information Flow in Systems with Schedulers
Abstract. The focus of work on information flow security has primarily been on definitions of security in asynchronous systems models. This paper considers systems with scheduler...
Ron van der Meyden, Chenyi Zhang
CVPR
2007
IEEE
16 years 1 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
QOSA
2010
Springer
15 years 3 months ago
Validating Model-Driven Performance Predictions on Random Software Systems
Abstract. Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurem...
Vlastimil Babka, Petr Tuma, Lubomír Bulej
ACCV
2006
Springer
15 years 5 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...