@inproceedings{ebc202b1b98f4574855b0dd776c63ed1,
title = "Adaptive color space switching for face tracking in multi-colored lighting environments",
abstract = "There are many studies that use color space models (CSM) for detection of faces in an image. Most researchers a priori select a given CSM, and proceed to use the selected model for color segmentation of the face by constructing a color distribution model (CDM). There is limited work on finding the overall best CSM. We develop a procedure to adaptively change the CSM throughout the processing of a video. We show that this works in environments where the face moves through multi-positioned light sources with varying types of illumination. A test of the procedure using the 2D color space models; RG, rg, HS, YQ and CbCr found that switching between the color spaces resulted in increased tracking performance. In addition, we have proposed a new performance measure for evaluating color-tracking algorithms, which include both accuracy and robustness of the tracking window. The methodology developed can be used to find the optimal CSM-CDM combination in adaptive color tracking systems.",
keywords = "adaptive color segmentation, color segmentation, color space model selection, face tracking, image processing",
author = "Helman Stern and Boris Efros",
year = "2002",
month = jan,
day = "1",
doi = "10.1109/AFGR.2002.1004162",
language = "English",
isbn = "0769516025",
series = "Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "249--254",
booktitle = "Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002",
address = "United States",
note = "5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 ; Conference date: 20-05-2002 Through 21-05-2002",
}