A Simple and Accurate Color Face Detection Algorithm in Complex Background

Human face detection plays an important role in many applications such as video surveillance, face recognition, and face image database management. This paper describes a fast face detection algorithm with accurate results. We use lighting compensation to improve the performance of color-based scheme, and reduce the computation complexity of featurebased scheme. Our method is effective on facial variations such as dark/bright vision, close eyes, open moth, a halfprofile face, and pseudo faces. It is worth stressing that our algorithm can also discriminate cartoon and human face correctly. The experimental results show that our approach can detect a frame in 111 msecs with the 92.3% detection rate.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Yu-Ting Pai, Shanq-Jang Ruan, Mon-Chau Shie, Yi-Chi Liu
• Keywords: Face Detection, Human Face, Human Face Detection, ICMCS 2006