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ICIP
2010
IEEE
14 years 7 months ago
Stationary foreground detection using background subtraction and temporal difference in video surveillance
In this paper we describe a new algorithm focused on obtaining stationary foreground regions, which is useful for applications like the detection of abandoned/stolen objects and p...
Álvaro Bayona, Juan C. SanMiguel, Jos&eacut...
AVSS
2009
IEEE
14 years 10 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
ICCV
2003
IEEE
15 years 11 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
ICCV
1999
IEEE
15 years 11 months ago
Wallflower: Principles and Practice of Background Maintenance
Background maintenance is a frequent element of video surveillance systems. We develop Wallflower, a threecomponent system for background maintenance: the pixellevel component per...
Kentaro Toyama, John Krumm, Barry Brumitt, Brian M...
AVSS
2009
IEEE
15 years 2 months ago
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
Álvaro Bayona, Juan Carlos San Miguel, Jos&...