This paper addresses auto-iris compensation. Auto-iris can be really troublesome for motion detection and tracking techniques based on background or frame differencing,since it can change quickly the average intensity of thecurrent frame. To cope with this, we introduced a two-step autoiris compensation approach in our traffic monitoring system. First, the auto-iris detection is based on the computation of the average of the luminance difference obtained by background suppression. Then, if an auto-iris is detected, the compensation phase is started. In this phase, the auto-iris’ behaviour is empirically modelled and, thus, compensated. Experimental results demonstrate the accuracy of the proposed approach, with both quantitative measures and visual analysis.
Auto-iris Compensation for Traffic Surveillance Systems / Cucchiara, Rita; Melli, Rudy Mirko; Prati, Andrea. - STAMPA. - 2005:(2005), pp. 851-856. (Intervento presentato al convegno IEEE Intelligent Transportation Systems Conference tenutosi a Vienna, aut nel 13-15 September 2005) [10.1109/ITSC.2005.1520161].
Auto-iris Compensation for Traffic Surveillance Systems
CUCCHIARA, Rita;MELLI, Rudy Mirko;PRATI, Andrea
2005
Abstract
This paper addresses auto-iris compensation. Auto-iris can be really troublesome for motion detection and tracking techniques based on background or frame differencing,since it can change quickly the average intensity of thecurrent frame. To cope with this, we introduced a two-step autoiris compensation approach in our traffic monitoring system. First, the auto-iris detection is based on the computation of the average of the luminance difference obtained by background suppression. Then, if an auto-iris is detected, the compensation phase is started. In this phase, the auto-iris’ behaviour is empirically modelled and, thus, compensated. Experimental results demonstrate the accuracy of the proposed approach, with both quantitative measures and visual analysis.
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