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Object detection

  • US 7,421,149 B2
  • Filed: 12/08/2004
  • Issued: 09/02/2008
  • Est. Priority Date: 12/11/2003
  • Status: Expired due to Fees
First Claim
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1. A method of detecting objects using multiple sets of object probability data relating to different respective expected object sizes relative to the image size, said method comprising:

  • storing a list of locations in an image where an object has been detected, said list defining a probability data set and a probability value for each detected object;

    detecting object locations in a set of object probability data as locations at which a local maximum probability value exceeds a threshold probability value and, if that location is substantially similar to a location previously stored in said list, where the local maximum probability value exceeds that relating to the previously stored location; and

    repeating step the storing successively in respect of each set of probability data.

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