An analogic CNN algorithm is proposed for detection of multiple moving objects in high resolution, grey-scale images taken from a fixed camera. The algorithm, based on simple 3 x 3 templates, can be implemented using CNN hardware, providing the real-time operation required in surveillance and traffic control applications. Efficient separation of moving objects from the background is obtained through automatic threshold selection. The performance of the proposed method is shown using real-life indoor and outdoor video sequences. Copyright (C) 2004 John Wiley Sons, Ltd.
Costantini, G., Casali, D., Perfetti, R. (2004). Analogic CNN algorithm for estimating position and size of moving objects. INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 32(6), 509-522 [10.1002/cta.293].
Analogic CNN algorithm for estimating position and size of moving objects
COSTANTINI, GIOVANNI;
2004-01-01
Abstract
An analogic CNN algorithm is proposed for detection of multiple moving objects in high resolution, grey-scale images taken from a fixed camera. The algorithm, based on simple 3 x 3 templates, can be implemented using CNN hardware, providing the real-time operation required in surveillance and traffic control applications. Efficient separation of moving objects from the background is obtained through automatic threshold selection. The performance of the proposed method is shown using real-life indoor and outdoor video sequences. Copyright (C) 2004 John Wiley Sons, Ltd.| File | Dimensione | Formato | |
|---|---|---|---|
|
2004-Analogic CNN algorithm.pdf
accesso aperto
Licenza:
Non specificato
Dimensione
250.65 kB
Formato
Adobe PDF
|
250.65 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
