This paper introduces a technique for achieving a high degree of accuracy in driver pose estimation and pose transition identification using pose-specific principle components developed by Belhumeur, Hespanha and Kriegman [1] in a noisy video sequence. The proposed method uses the estimated optical flow in a bandpass filtered image series to establish a spatially stable window that defines the pixel domain for further processing and principle component extraction. Optical flow tracking is achieved via spatial correlation using a likelihood measure that accounts for similarity between pixel values and brightness distribution in sequential video frames.
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