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VISAPP
2007
15 years 15 days ago
A spatial sampling mechanism for effective background subtraction
Marco Cristani, Vittorio Murino
ECCV
2008
Springer
16 years 1 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICIP
2008
IEEE
15 years 5 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
ICASSP
2007
IEEE
15 years 5 months ago
Spatiotemporal Algorithm for Background Subtraction
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
S. Derin Babacan, Thrasyvoulos N. Pappas
ICPR
2008
IEEE
15 years 5 months ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...