Automatic threshold selection for automated visual surveillance
Turgay Çelik, T. Kabakli, Mustafa Kemal Uyguroğlu · 2004
Automated visual surveillance systems mostly depend on an effective background subtraction technique. Most background subtraction techniques suffer mainly from parameter updates for threshold selection. A new threshold selection technique, which is found while training the system to learn the background, is proposed.