Title :
A novel method for graffiti detection using change detection algorithm
Author :
Angiati, D. ; Gera, G. ; Piva, S. ; Regazzoni, C.S.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
In recent decades vandal acts and graffiti drawing problem have increased and have required a lot of public funding. To face this problem the communal administrations have invested in automatic video surveillance systems. To deal with this problem through image processing techniques, this paper presents a method for graffiti detection based on change detection algorithm and motion vector. The aim of this system is to detect the graffiti painting act while people are going to draw, identify them and distinguish the drawer.
Keywords :
image motion analysis; object detection; surveillance; video signal processing; automatic video surveillance systems; change detection algorithm; graffiti detection; graffiti drawing problem; image processing techniques; motion vector; Cameras; Cities and towns; Costs; Detection algorithms; Feature extraction; Image processing; Layout; Motion detection; Painting; Video surveillance;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE Conference on
Print_ISBN :
0-7803-9385-6
DOI :
10.1109/AVSS.2005.1577274
