Title : 
Color based soft biometry for hooligans detection
         
        
            Author : 
D´Angelo, Angela ; Dugelay, Jean-Luc
         
        
            Author_Institution : 
Multimedia Commun. Dept., Eurecom, Sophia Antipolis, France
         
        
        
            fDate : 
May 30 2010-June 2 2010
         
        
        
        
            Abstract : 
Biometric systems based on human traits like fingerprinting, face, iris, etc., even widely explored in literature, cannot be used in scenarios like video surveillance of crowded envinroments. A different class of biometry, usually referred as soft biometry, including individual´s height, weight, skin color, clothes color, trajectory, etc., can be more easily extracted from cameras in a large network to provide some useful information about the users. In this work we focus our attention on the color of human clothes. We apply color based soft biometric to a specific scenario, i.e. to prevent hooligans fights, based on the color of the clothes they wear. A video surveillance system able to quickly identify the presence of rival teams fans in a specific location would be helpful in avoiding vandalism and destructive behaviour.
         
        
            Keywords : 
biometrics (access control); image colour analysis; video surveillance; biometrics; color based soft biometry; destructive behaviour; hooligan detection; video surveillance system; Biometrics; Cameras; Data mining; Face detection; Fans; Fingerprint recognition; Humans; Iris; Skin; Video surveillance;
         
        
        
        
            Conference_Titel : 
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
         
        
            Conference_Location : 
Paris
         
        
            Print_ISBN : 
978-1-4244-5308-5
         
        
            Electronic_ISBN : 
978-1-4244-5309-2
         
        
        
            DOI : 
10.1109/ISCAS.2010.5537508