Human and object recognition in digital video
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United States of America Patent
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Issued Date -
Aug 3, 2006
app pub date -
Jan 31, 2006
filing date -
Jan 31, 2005
priority date (Note) -
Abandoned
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Abstract
The current invention is a method or a computer implemented tool for robust, low CPU, low resolution human tracking which may be implemented a part of a digital video management and surveillance system or on a digital video recorder. The method involves use of intensity, texture and shadow filtering in the YUV color space to reduce the number of false objects detected. The thresholds for background segmentation may be dynamically adjusted to image intensity. The human and object recognition feature operates on an adaptive codebook based learning algorithm.
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