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ISVC
2007
Springer
14 years 5 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
ICPR
2006
IEEE
14 years 5 months ago
A Conditional Random Field Model for Video Super-resolution
In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
Dan Kong, Mei Han, Wei Xu, Hai Tao, Yihong Gong
AVSS
2008
IEEE
14 years 5 months ago
Automatic Detection of Adverse Weather Conditions in Traffic Scenes
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determin...
Andrea Lagorio, Enrico Grosso, Massimo Tistarelli
BNCOD
2009
182views Database» more  BNCOD 2009»
14 years 7 days ago
Conditional Dependencies: A Principled Approach to Improving Data Quality
Real-life date is often dirty and costs billions of pounds to businesses worldwide each year. This paper presents a promising approach to improving data quality. It effectively det...
Wenfei Fan, Floris Geerts, Xibei Jia
ICIP
2010
IEEE
13 years 9 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...