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EnglishWe present a multi-view change detection approach aimed at being robust with respect to common “disturbance factors” yielding image changes in realworld applications. Disturbance factors causing “slow” or “fast-and-global” image variations, such as light changes and dynamic adjustments of camera parameters (e.g. auto-exposure and auto-gain control), are dealt with by a proper single-view change detector run independently on each view. The computed change masks are then fused into a “synergy mask” defined into a common virtual top-view, so as to detect and filter-out “fast-and-local” image changes due to physical points lying on the ground surface (e.g. shadows cast by moving objects and light spots hitting the ground surface).
| Titolo: | Robust Multi-View Change Detection | |
| Autore/i: | LANZA, ALESSANDRO; DI STEFANO, LUIGI; J. Berclaz; F. Fleuret; P. Fua | |
| Autore/i Unibo: | ||
| Anno: | 2007 | |
| Titolo del libro: | Proceedings of the British Machine Vision Conference 2007 | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 10 | |
| Abstract: | We present a multi-view change detection approach aimed at being robust with respect to common “disturbance factors” yielding image changes in realworld applications. Disturbance factors causing “slow” or “fast-and-global” image variations, such as light changes and dynamic adjustments of camera parameters (e.g. auto-exposure and auto-gain control), are dealt with by a proper single-view change detector run independently on each view. The computed change masks are then fused into a “synergy mask” defined into a common virtual top-view, so as to detect and filter-out “fast-and-local” image changes due to physical points lying on the ground surface (e.g. shadows cast by moving objects and light spots hitting the ground surface). | |
| Data prodotto definitivo in UGOV: | 6-dic-2007 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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