Face Tracking using a Polling Strategy

Authors: Rodrigo Montufar-Chaveznava

Abstract:

The colors of the human skin represent a special category of colors, because they are distinctive from the colors of other natural objects. This category is found as a cluster in color spaces, and the skin color variations between people are mostly due to differences in the intensity. Besides, the face detection based on skin color detection is a faster method as compared to other techniques. In this work, we present a system to track faces by carrying out skin color detection in four different color spaces: HSI, YCbCr, YES and RGB. Once some skin color regions have been detected for each color space, we label each and get some characteristics such as size and position. We are supposing that a face is located in one the detected regions. Next, we compare and employ a polling strategy between labeled regions to determine the final region where the face effectively has been detected and located.

Keywords: Tracking, face detection, image processing, colorspaces.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061106

References:

[1] M. Yang, D. J. Kriegman and N. Ahuja, "Detecting Faces in Images: A Survey", IEEE Trans. on PAMI, vol. 24, no. 1, pp. 34-58, Jan 2002.
[2] R. Hsu and M. Abdel-Mottaleb, "Face Detection in Color Images," IEEE Trans. on PAMI, vol. 24, no. 5, pp. 696-706, May 2002.
[3] S. K. Singh, D. S. Chauhan, M. Vatsa and R. Singh, "A Robust Skin Color Based Face Detection Algorithm", Tamkang Journal of Science and Engineering, vol. 6, no. 4, pp. 227-234, 2003.
[4] J. Liu and Y. H. Yang, "Multiresolution color image segmentation", IEEE Trans. on PAMI, vol. 16, pp. 689-700, July 1994.
[5] D. H. Ballard and C. Brown. Computer Vision. Prentice Hall, Inc., Englewood Cliffs, New Jersey, 1982.