New Fuzzy Skin Model for Face Detection

Abstract. We discuss the face detection method by using skin information. Skin color has proven to be a useful and robust cue for face detection, localization and tracking. Numerous techniques for skin color modelling and recognition have been proposed during several past years. In this paper we propose a new fuzzy skin model for face detection and its identification method. The fuzzy skin model comprise of the fuzzy rules with color information. The membership function and structure of fuzzy rule are identified by the proposed linear matrix inequality method. Experimental results demonstrate successful face detection.

• Type: Conference
• Year: 2005
• Where: AUSAI
• Authors: Moon Hwan Kim, Jin Bae Park, Young Hoon Joo
• Keywords: Artificial Intelligence, AUSAI 2005, Face Detection, Fuzzy Skin Model, Skin Color