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Methods, devices and systems for detecting objects in a video

  • US 9,443,143 B2
  • Filed: 03/01/2015
  • Issued: 09/13/2016
  • Est. Priority Date: 09/12/2012
  • Status: Active Grant
First Claim
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1. A method of detecting human objects in a video, comprising:

  • determining pixels of a video image are foreground pixels, a group of the foreground pixels constituting a foreground blob set of one or more foreground blobs;

    for each of N predetermined shapes at corresponding ones of N predetermined locations within the video image, where N is a positive integer greater than one, calculating a first value by comparing an overlap of the corresponding predetermined shape with the foreground blob set, the first value being used to obtain a corresponding probability of a human at the corresponding predetermined location, thereby obtaining N probabilities corresponding to the N locations;

    using the N probabilities, determining X humans are represented by the foreground blob set, where X is a whole number; and

    providing at least one of a report, an alarm, and an event detection using the determination of the representation of X humans,wherein a size of the corresponding predetermined shape for each of the N locations is determined in response to calibration of the video system, andwherein the comparing of the corresponding predetermined shape with the foreground blob set for each of the N predetermined shapes comprises analyzing an amount of an overlapping area of the corresponding predetermined shape with the foreground blob set.

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