DETECTION OF OBJECTS REPRESENTED IN IMAGES
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United States of America Patent
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N/A
Issued Date -
Jul 26, 2012
app pub date -
Jun 3, 2009
filing date -
Jun 3, 2009
priority date (Note) -
Abandoned
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Abstract
The invention relates to computer vision, in particular detection and classification of objects captured in a video stream of images. The invention provides a memory efficient method of storing images that have been pre-processed for use in object detection. The method is based on using histograms of orientation. The invention also includes methods for training and using weak classifiers that use this pre-processing of images. A first weak classifier uses the total count of two orientation values in a histogram as an index to a two dimensional confidence table to determine a confidence value. The second weak classifier projects one or more total counts of orientation values in a histogram into a scalar value that is then used in a one dimensional confidence map to determine a confidence value. Aspects of the invention include methods, computer systems and software.
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