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ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Real-Time Face Tracking under Partial Occlusion and Illumination Change
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Skin Color-Based Video Segmentation under Time-Varying Illumination
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A survey of skin-color modeling and detection methods
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Efficient multiple faces tracking based on Relevance Vector Machine and Boosting learning
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Refining face tracking with integral projections
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Brand identification using Gaussian derivative histograms
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A video-based door monitoring system using local appearance-based face models
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Real-time face tracking for attention aware adaptive games
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Face tracking using multiple facial features based on particle filter
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ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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Expert Systems with Applications: An International Journal
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In this paper we discuss a new robust tracking technique applied to histograms of intensity normalized color. This technique supports a video codec based on orthonormal basis coding. Orthonormal basis coding can be very efficient when the images to be coded have been normalized in size and position. However, an imprecise tracking procedure can have a negative impact on the efficiency and the quality of reconstruction of this technique, since it may increase the size of the required basis space. The face tracking procedure described in this paper has certain advantages, such as greater stability, higher precision, and less jitter, over conventional tracking techniques using color histograms. In addition to those advantages, the features of the tracked object such as mean and variance are mathematically describable.