Human Face Detection and Tracking using Skin Color Modeling and Connected Component Operators
- 1 May 2002
- journal article
- research article
- Published by Taylor & Francis in IETE Journal of Research
- Vol. 48 (3) , 289-293
- https://doi.org/10.1080/03772063.2002.11416288
Abstract
Face Recognition (FR) systems are increasingly gaining more importance. Face detection and tracking in a complex scene forms the first step in building a practical FR system. In this paper, a method to detect and track human faces in color image sequences is described. Skin color classification and morphological segmentation is used to detect face(s) in the first frame. These detected faces are tracked over subsequent frames by using the position of the faces in the first frame as the marker and detecting for skin in the localized region. Specific advantages of this approach are that skin color analysis method is simple and powerful, and the system can be used to detect/track multiple faces.Keywords
This publication has 7 references indexed in Scilit:
- Face detection using templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Face recognition using eigenfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Face detection by fuzzy pattern matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Locating human faces in photographsInternational Journal of Computer Vision, 1996
- Face-texture model based on SGLD and its application in face detection in a color scenePattern Recognition, 1996
- Human and machine recognition of faces: a surveyProceedings of the IEEE, 1995
- Human‐face search and location in a scene by multi‐pyramid architecture for personal identificationSystems and Computers in Japan, 1995