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Presenter tracking in a classroom environment

机译:演示者在教室环境中跟踪

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As intelligent environments become more focused on supporting human activity, we see a growing need for the computer to ascertain users' location and activity, be it for face detection, gesture recognition, or even simple tracking. To support such applications, a robust tracking algorithm is required. A camera tracking algorithm for a pan and tilt camera is proposed, that is robust to moderately dynamic backgrounds and varying lighting conditions, while requiring only modest computational resources. The algorithm is based on pre-filtering as well as temporal differencing, and achieves impressive results in the real-world setting of a university classroom.
机译:随着智能环境变得更加专注于支持人类活动,我们会看到计算机越来越需要,以确定用户的位置和活动,是面部检测,手势识别甚至简单跟踪。为了支持此类应用,需要一种强大的跟踪算法。提出了一种用于平移和倾斜摄像机的摄像机跟踪算法,这对于适度动态的背景和不同的照明条件是强大的,同时只需要适度的计算资源。该算法基于预滤波以及时间差异,并在大学课堂的真实世界中实现令人印象深刻的结果。

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