Statistical modeling and performance characterization of a real-time dual camera surveillance system
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United States of America Patent
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app pub date -
Jul 12, 2006
filing date -
Jun 12, 2000
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Abandoned
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Abstract
The present invention relates to a method for visually detecting and tracking an object through a space. The method chooses modules for a restricting a search function within the space to regions with a high probability of significant change, the search function operating on images supplied by a camera. The method also derives statistical models for errors, including quantifying an indexing step performed by an indexing module, and tuning system parameters. Further the method applies a likelihood model for candidate hypothesis evaluation and object parameters estimation for locating the object.
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