Abstract
Size of objects in scenes is an important parameter of video surveillance systems. From the analysis of object's size we can build an objects size model in scenes. The basic idea derives from automatic calibration to different perspectives. To build such a model of object's size from the real time video data we utilize Gaussians and real-time fast learning algorithm from literature. The built model is used for real-time surveillance systems.
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