A head -counter device (100) comprising a digital camera (1) adapted to provide a first digital image (IM1 ) representative of a counting zone (STR) of persons , the first image defining a first horizontal dimension (N) and a first vertical dimension (M) , and a cropping module (7) configured for: analyzing the first image (IM1 ) and identifying a noise area (PCR) according to at least one of the following features: pixel light intensity, pixel color and/ or presence of predefined patterns, cropping the noise area (PCR) from the first image (IM1 ) to obtain a second image (IM2) without thenoise area, the noise area (PCR) being a peripheral portion of the first image having said first horizontal dimension and having a second vertical dimension (M-DSK+SM) shorter than the first vertical dimension .

(2021). Head-counter device and method for processing digital images . Retrieved from http://hdl.handle.net/10446/201876

Head-counter device and method for processing digital images

Previdi, Fabio;
2021-07-15

Abstract

A head -counter device (100) comprising a digital camera (1) adapted to provide a first digital image (IM1 ) representative of a counting zone (STR) of persons , the first image defining a first horizontal dimension (N) and a first vertical dimension (M) , and a cropping module (7) configured for: analyzing the first image (IM1 ) and identifying a noise area (PCR) according to at least one of the following features: pixel light intensity, pixel color and/ or presence of predefined patterns, cropping the noise area (PCR) from the first image (IM1 ) to obtain a second image (IM2) without thenoise area, the noise area (PCR) being a peripheral portion of the first image having said first horizontal dimension and having a second vertical dimension (M-DSK+SM) shorter than the first vertical dimension .
internazionale
Savaresi, Sergio; Buzzetti, Alex; Valerio, Niccolò; Campana, Mattia; Previdi, Fabio; Maroni, Gabriele; Ermidoro, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/201876
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