Method of surveillance using a multi-sensor system

• US 20180068172A1
• Filed: 08/18/2017
• Published: 03/08/2018
• Est. Priority Date: 08/19/2016
• Status: Abandoned Application

• Current Assignee: Safran Identity & Security
• Original Assignee: Safran Identity & Security
• Inventors: DESPIEGEL, Vincent, BAUDRY, Christelle
• Application Number:
  US15/680,883
• Publication Number:
  US 20180068172A1
• Time in Patent Office: Days
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: H04W 12/08 Access security

Abstract

A method for the surveillance of a place using a network of image sensors connected to a biometric recognition device so arranged as to retrieve biometric features of persons from images supplied by the sensors and to compare the biometric features retrieved from images provided by distinct sensors in order to detect therefrom the presence of the same person according to a score of proximity between the biometric features, with the method comprising the steps of determining positional information and temporal information representing a split time between the two images and checking consistency between the newly determined positional and temporal information and the previously stored positional and temporal information.

Claims

1. A method for the surveillance of a place using a network of image sensors connected to a biometric recognition device so arranged as to retrieve biometric features of persons from images supplied by the sensors and to compare the biometric features retrieved from images provided by distinct sensors in order to detect therefrom the presence of the same person according to a score of proximity between the biometric features, with the method comprising the following steps, implemented by the biometric device of:

determining, on the images, and storing, positional information representing at least one position of the persons, whose biometric features have been detected;

when the same person is detected on the images of at least two distinct sensors, determining and storing at least one piece of temporal information representing a split time between the two images;

checking consistency between the newly determined positional and temporal information and the previously stored positional and temporal information.

2. The method according to claim 1, comprising the step of taking account of the consistency of the positional and temporal information so as to improve the performances as regards accuracy/correctness of the operation of detection and/or the performances as regards accuracy/correctness of the operation of recognition of the persons.

3. The method according to claim 2, wherein taking into account the consistency comprises a phase of calculating, from the previously stored positional and temporal information, a probability for a new detection of a face to be present in a position with a scale on an image.

4. The method according to claim 2, wherein the scores of proximity are weighted according to the previously stored positional and temporal information so as to take account of the consistency of the positional and temporal information.

5. The method according to claim 1, comprising the step of emitting a warning when the newly determined positional and temporal information and the previously stored positional and temporal information are not consistent.

6. The method according to claim 5, wherein the warning is launched after a lasting discrepancy has been noted between the newly determined positional and temporal information and the previously stored positional and temporal information, i.e. such discrepancy lasts for a predetermined period of time.

7. The method according to claim 5, wherein the previously stored positional and temporal information used for checking consistency have been recorded during a previous recording phase and, in case of warning, a new phase of recording positional and temporal information is launched.

8. The method according to claim 1, wherein the temporal information is determined and stored only when the score of proximity is above a predetermined threshold.

9. The method according to claim 1, wherein the positional information is determined according to the zone of the image covered by the persons'"'"' faces.

10. The method according to claim 9, wherein the positional information is determined according to the position of said zone on the image.

11. The method according to claim 9, wherein information positional is determined according to the dimensions of said zone on the image.

12. The method according to claim 1, wherein the score of proximity is a Mahalanobis distance.

13. The method according to claim 1, wherein several types of biometric features are retrieved from the images.

14. The method according to claim 13, wherein the score of proximity is calculated while applying weighting to the biometric features according to the type thereof.

15. The method according to claim 13, wherein the score of proximity is calculated using different algorithms according to the type of biometric features.

16. The method according to claim 15, wherein weighting is applied to each algorithm used for calculating the score of proximity.

17. The method according to claim 1, wherein the biometric features comprise points characteristic of the face.