CwisarDH is a method based on Weightless Neural Networks (WNN) to address the change and motion detection problem in video processing. The main features of CwisarDH are: 1) the dynamic adaptability to background change due to the WNN model adopted; 2) the use of pixel color history buffers to improve the system behavior in videos characterized by (des)appearing of objects in the scene and slow/fast changes in lightning and background brightness and shape. CwisarDH ranked third in the CDNET 2014 challenge (www.changedetection.net) surpassing many other competitors.

CwisarDH: a Change Detection method in Computer Vision and Video Processing based on Weightless Neural Networks

M Giordano;M De Gregorio
2014

Abstract

CwisarDH is a method based on Weightless Neural Networks (WNN) to address the change and motion detection problem in video processing. The main features of CwisarDH are: 1) the dynamic adaptability to background change due to the WNN model adopted; 2) the use of pixel color history buffers to improve the system behavior in videos characterized by (des)appearing of objects in the scene and slow/fast changes in lightning and background brightness and shape. CwisarDH ranked third in the CDNET 2014 challenge (www.changedetection.net) surpassing many other competitors.
2014
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello" - ISASI
Weightless Neural Networks
video surveillance
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/268740
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