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Adaptive background estimation: Computing a pixel-wise learning rate from local confidence and global correlation values

Pic, M; Berthouze, L; Kurita, T; (2004) Adaptive background estimation: Computing a pixel-wise learning rate from local confidence and global correlation values. In: IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. (pp. 50 - 57). IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

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Abstract

Adaptive background techniques are useful for a wide spectrum of applications, ranging from security surveillance, traffic monitoring to medical and space imaging. With a properly estimated background, moving or new objects can be easily detected and tracked. Existing techniques are not suitable for real-world implementation, either because they are slow or because they do not perform well in the presence of frequent outliers or camera motion. We address the issue by computing a learning rate for each pixel, a function of a local confidence value that estimates whether a pixel is (or not) an outlier, and a global correlation value that detects camera motion. After discussing the role of each parameter, we report experimental results, showing that our technique is fast but efficient, even in a real-world situation. Furthermore, we show that the same method applies equally well to a 3-camera stereoscopic system for depth perception.

Type: Proceedings paper
Title: Adaptive background estimation: Computing a pixel-wise learning rate from local confidence and global correlation values
Event: IAPR Workshop on Machine Vision Applications
Location: NARA, JAPAN
Dates: 2002-12-11 - 2002-12-13
Keywords: background reconstruction, adaptive estimation, pixel confidence
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Developmental Neurosciences Prog
URI: http://discovery.ucl.ac.uk/id/eprint/1320038
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