• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.831-834
• /
• 2005

실시간 안면 생체정보 추출 알고리즘은 다양한 멀티미디어 및 보안 시스템에 적용이 가능하다. 그러나 추출율과 시간 이득이라는 측면에서 모두 만족하는 알고리즘은 제안된 사례가 극히 드물며, 그 결과 역시 만족스럽지 못한 경우가 많았다. 본 연구에서는 스킨 칼라 모델을 기반으로 하여 높은 시간 이득을 보장하는 동영상 기반의 실시간 얼굴 영역 추출에 대한 알고리즘을 제시하고자 한다.

• The Journal of the Korea Contents Association
• /
• v.6 no.12
• /
• pp.1-11
• /
• 2006

Many research demonstrations and commercial applications have been tried to develop face detection and recognition systems. Human face detection plays an important role in applications such as access control and video surveillance, human computer interface, identity authentication, etc. There are some special problems such as a face connected with background, faces connected via the skin color, and a face divided into several small parts after skin region segmentation in generally. It can be allowed many face detection techniques to solve the first and second problems. However, it is not easy to detect a face divided into several parts of regions for reason of different illumination conditions in the third problem. Therefore, we propose an efficient modified skin segmentation algorithm to solve this problem because the typical region segmentation algorithm can not be used to. Our algorithm detects skin regions over the entire image, and then generates face candidate regions using our skin segmentation algorithm For each face candidate, we implement the procedure of region merging for divided regions in order to make a region using adjacency between homogeneous regions. We utilize various different searching window sizes to detect different size faces and a face detection classifier based on a back-propagation algorithm in order to verify whether the searching window contains a face or not.