Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '98 1998
DOI: 10.1145/274644.274666
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Visual tracking for multimodal human computer interaction

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Cited by 44 publications
(17 citation statements)
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“…al. [Yang, 1998] have implemented a camera-based face and facial features (eyes, lips and nostrils) tracker system. The system can also estimate user gaze direction and head poses.…”
Section: Overview Of Human-machine Interaction Systemsmentioning
confidence: 99%
“…al. [Yang, 1998] have implemented a camera-based face and facial features (eyes, lips and nostrils) tracker system. The system can also estimate user gaze direction and head poses.…”
Section: Overview Of Human-machine Interaction Systemsmentioning
confidence: 99%
“…Recently, many researchers are combining multiple features for face localization and detection and those are more robust than single feature based approaches. Yang and Ahuja [Yang, 1998] proposed a face detection method based on color, structure and geometry.…”
Section: Feature Invariant Approachesmentioning
confidence: 99%
“…In order to alleviate the influence of ambient lighting on the sample class data, chromatic color transformation is adopted for color representation (Chiang et al, 2003;Yang et al, 1998). It was pointed out (Yang et al, 1998) that human skin colors are less variant in the chromatic color space than the RGB color space.…”
Section: Online Learning and Extraction Of Lip And Non-lip Data Samplesmentioning
confidence: 99%
“…It was pointed out (Yang et al, 1998) that human skin colors are less variant in the chromatic color space than the RGB color space. Although in general the skin-color distribution of each individual may be modeled by a multivariate normal distribution, the parameters of the distribution for different people and different lighting conditions are significantly different.…”
Section: Online Learning and Extraction Of Lip And Non-lip Data Samplesmentioning
confidence: 99%