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ICIP
2010
IEEE

Robust and efficient background subtraction by quadratic polynomial fitting

9 years 5 months ago
Robust and efficient background subtraction by quadratic polynomial fitting
We present a background subtraction algorithm aimed at efciency and robustness to common sources of disturbance such as illumination changes, camera gain and exposure variations, noise. The approach relies on modeling the local effect of disturbance factors on a neighborhood of pixel intensities as a second-degree polynomial transformation plus additive gaussian noise. This allows for classifying pixels as changed or unchanged by a simple least-squares polynomial tting procedure. Experimental results prove that the approach is state-of-the-art in challenging sequences characterized by sources of disturbance yielding sudden and strong background appearance changes.
Alessandro Lanza, Federico Tombari, Luigi di Stefa
Added 03 Mar 2011
Updated 03 Mar 2011
Type Journal
Year 2010
Where ICIP
Authors Alessandro Lanza, Federico Tombari, Luigi di Stefano
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