Title :
Detecting adult image using multiple features
Author :
Jiao, Feng ; Gao, Wen ; Duan, Lijuan ; Cui, Guoqin
Author_Institution :
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Abstract :
This paper presents a new method to detect naked people in an image using multiple features. The skin color model is firstly used to detect naked skin areas roughly. The Sobel edge operator and Gabor filter are used to weed those that are not really human skin pixels. Images that have many naked skin areas are thought maybe to have naked people. The color coherence vector and color histogram of these images are calculated and the SVM (support vector machine) is used to determine which of these images contain images of naked people
Keywords :
edge detection; feature extraction; filtering theory; image colour analysis; learning automata; statistical analysis; Gabor filter; SVM; Sobel edge operator; adult image detection; color coherence vector; color histogram; multiple features; naked people; skin color model; support vector machine; Coherence; Computers; Gabor filters; Histograms; Humans; Image edge detection; Internet; Power system modeling; Skin; Support vector machines;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983086
