Method for identifying an object in a video archive

• US 8,594,373 B2
• Filed: 08/26/2009
• Issued: 11/26/2013
• Est. Priority Date: 08/27/2008
• Status: Active Grant

• Current Assignee: European Aeronautic Defence and Space Company EADS France (Airbus SE)
• Original Assignee: European Aeronautic Defence and Space Company EADS France (Airbus SE)
• Inventors: Sturzel, Marc, Jurie, Frdric
• Primary Examiner(s): Koziol, Stephen R
• Assistant Examiner(s): Azima, Shaghayegh
• Application Number:
  US13/059,962
• Publication Number:
  US 20120039506A1
• Time in Patent Office: 1,553 Days
• Field of Search: 382/103, 382/181, 382/190, 382/224, 382/118, 348/7, 348/143, 348/169
• US Class Current: 382/103
• CPC Class Codes: G06F 16/70 of video data
• CPC Class Codes: G06V 20/47 Detecting features for summarising video content
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats

Abstract

A method for identifying an object in a video archive including multiple images acquired in a network of cameras including a phase of characterization of the object to be identified and a phase of searching for the object in the archive, where the characterization phase consists of defining for the object at least one semantic characteristic capable of being extracted, even in low-resolution images, from the video archive.

Claims

1. A method for identifying an object in a video archive comprising a plurality of images in a network of cameras, the method comprising:

a phase of characterization of the object to be identified and a phase of searching for the object to be identified in the video archive, wherein the characterization phase comprises defining for the object at least one semantic characteristic capable of being extracted from the video archive, even for low-resolution images, the at least one semantic characteristic being directly interpretable by an operator, and

wherein the search phase comprises;

filtering the images from the video archive according to the previously defined semantic characteristic;

extracting automatically from the archive the images containing an object having the semantic characteristic;

defining a group of objects comprising all the objects present in the video archive having the semantic characteristic; and

measuring the similarity of the object to be identified with every other object of the previously defined, wherein the measurement of the similarity includes;

estimating the compatibility of the semantic characterization of the object to be identified with the semantic characteristic extracted from the images of the other objects in the previously defined group, and

estimating a space-time compatibility of the itinerary of the object to be identified with the itinerary of another object in the previously defined group having a similar semantic characteristic and not having any characteristic incompatible with that of the object to be identified.

2. A method according to claim 1, further comprising assigning a probability coefficient to each measurement of similarity.

3. A method according to claim 2, further comprising merging the results of the measurements of the similarity so as to define a single unified measurement of similarity;

and enabling a distance in the space of the object to be identified.

4. A method according to claim 3, further comprising undertaking a dynamic structuring of the space of the objects to be identified by means of the distance so as to navigate interactively in the video archive using a hierarchical tree.

5. A method according to claim 4, wherein the object to be identified is a human being.

6. A method according to claim 5, wherein the semantic characteristic of the human being comprises a visible physical characteristic.

7. A method according to claim 5, wherein the semantic characteristic of the human being comprises a visible clothing accessory.