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Facilitating people search in video surveillance

  • US 10,424,342 B2
  • Filed: 07/28/2010
  • Issued: 09/24/2019
  • Est. Priority Date: 07/28/2010
  • Status: Active Grant
First Claim
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1. A method for facilitating a video surveillance search of a person, wherein the method comprises:

  • maintaining a database of attributes of one or more people captured on one or more video cameras, wherein the attributes comprise clothing type, shirt color, pants color presence of sunglasses, presence of eyeglasses, presence of a beard, presence of a mustache, presence of a hat, nose type, sideburns, clothes type, skin color, eye color, presence of a carried bag, and absence or presence of a companion;

    indexing the attributes in the database extracted from the one or more video cameras;

    pruning one or more images captured from the one or more video cameras using the attributes and one or more items of qualifying information to facilitate a video surveillance search of a specific person, wherein the qualifying information includes (i) information, provided by a user requesting the search, about a particular attribute of the specific person sought in the video surveillance search, (ii) a utility level associated with the particular attribute for identifying a person in a video surveillance search, and (iii) an estimated error value for attribute detection accuracy of the particular attribute in relation to other attributes, and wherein said pruning comprises;

    identifying a number of people with the particular attribute captured by the one or more video cameras over a pre-determined period of time to determine an empirical likelihood for identifying the sought person based on distribution of the particular attribute;

    pruning the identified number of people with the particular attribute captured by the one or more cameras over the pre-determined period of time to determine an updated empirical likelihood for identifying the sought person, wherein said pruning the identified number of people comprises pruning the images based on the time the sought person was last seen, the direction in which the sought person was travelling, and the speed at which the sought person was travelling;

    determining an historical likelihood of the particular attribute being found in the general population; and

    determining an accuracy with which the particular attribute is recognized given the utility level associated with the particular attribute and the determined updated empirical likelihood and the determined historical likelihood; and

    outputting, to at least one user, a result for the video surveillance search of the person based on said pruning of the one or more images captured from the one or more video cameras.

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