Video surveillance method and system based on average image variance

• US 8,363,106 B2
• Filed: 04/02/2009
• Issued: 01/29/2013
• Est. Priority Date: 04/03/2008
• Status: Active Grant

• Current Assignee: STMicroelectronics SA (STMicroelectronics NV)
• Original Assignee: STMicroelectronics SA (STMicroelectronics NV)
• Inventors: Martin, Lionel, Baudon, Tony
• Primary Examiner(s): Burgess, Glenton B
• Assistant Examiner(s): MARTINEZ, MICHAEL T
• Application Number:
  US12/417,223
• Publication Number:
  US 20090251544A1
• Time in Patent Office: 1,398 Days
• Field of Search: 382/103, 382/154, 382/190, 382/195, 348/143, 348/154, 348/155, 348/218.1, 375/240.12, 375/240.16
• US Class Current: 348/155
• CPC Class Codes: G08B 13/19602 Image analysis to detect motion of the intruder, e.g. by frame subtraction
• CPC Class Codes: G08B 13/19641 Multiple cameras having overlapping views on a single scene
• CPC Class Codes: G08B 13/19652 Systems using zones in a single scene defined for different treatment, e.g. outer zone gives pre-alarm, inner zone gives alarm

Abstract

The present disclosure relates to a video surveillance method comprising steps of a video camera periodically capturing an image of a zone to be monitored, analyzing the image to detect a presence therein, and of the video camera transmitting the image only if a presence has been detected in the image.

Claims

1. A video surveillance method, comprising:

under control of a video camera module,

capturing a subject image of a zone being monitored;

analyzing the subject image to detect an occurrence of a variation in the subject image compared to a previously captured image; and

outputting the subject image if the occurrence of the variation has been detected in the subject image, wherein;

analyzing the subject image includes dividing the subject image into image zones; and

the occurrence of a variation in the subject image compared to the previously captured image is detected if a condition is confirmed in at least one image zone of the subject image, the condition being;

|MR(t,i)−

MRF(t−

1,i)|≧

G(i)·

VRF(t−

1,i),

in which MR(t,i) is the average value of pixels of the image zone i in the subject image t, MRF(t−

1,i) is an average value of pixels of the image zone i calculated on several previous images from a previous image t−

1, G(i) is a detection threshold value defined for the image zone i and VRF(t−

1,i) is an average variance value calculated on several previous images from the previous image t−

1.

2. A method according to claim 1, wherein the analyzing the subject image further comprises:

calculating an average value of all pixels of each image zone; and

detecting an occurrence of a variation in each image zone compared to a corresponding image zone in the previously capture image according to variations in the average value of each image zone.

3. A method according to claim 2, further comprising adjusting the detection threshold value of each image zone.

4. A method according to claim 3, wherein the detection threshold value in at least one image zone is chosen so as to inhibit the detecting an occurrence of a variation in the image zone.

5. A method according to claim 2, wherein, for each image zone, the average value of the image zone comprises three components calculated from three components of each pixel of the image zone.

6. A method according to claim 2, wherein, for each image zone, the average value of the image zone is calculated by combining three components of each pixel of the image zone.

7. A method according to claim 2, further comprising, inhibiting the detecting an occurrence of a variation in certain image zones.

8. A method according to claim 2, further comprising, transmitting a number of image zones in which an occurrence of a variation has been detected in the subject image.

9. A method according to claim 1, further comprising:

for each of several video cameras,

capturing a respective subject image of a respective zone being monitored; and

analyzing the respective subject image to detect an occurrence of a variation in the respective subject image compared to a previously captured image; and

selecting the respective subject image to be outputted from a respective one of the several video cameras that captured the respective subject image, depending on the analyzing having detected the occurrence in the respective subject image.

10. A method according to claim 9, wherein the analyzing the respective subject image includes dividing the respective subject image into image zones, and analyzing each image zone to detect a variation therein, the selecting the respective subject image to be outputted including selecting the respective subject image based at least in part on a number of image zones in which a variation has been detected in the respective subject image.

11. A video surveillance device, comprising:

an image sensor configured to capture a subject image of a zone being monitored; and

a detector coupled to the image sensor and configured analyze the subject image to detect an occurrence of a variation in the subject image compared to a previously captured image, and output the subject image if the occurrence of the variation has been detected in the subject image, wherein the detector is further configured to;

divide the subject image into image zones; and

detect an occurrence of a variation in the subject image if a condition is confirmed in at least one image zone of the subject image, the condition being;

|MR(t,i)−

MRF(t−

1,i)|≧

G(i)·

VRF(t−

1,i),

in which MR(t,i) is the average value of pixels of the image zone i in the subject image t, MRF(t−

1,i) is an average value of pixels of the image zone i calculated on several previous images from a previous image t−

1, G(i) is a threshold value defined for the image zone i and VRF(t−

1,i) is an average variance value calculated on several previous images from the previous image t−

1.

12. A device according to claim 11, wherein the detector further configured to calculate an average value pixels of each image zone and detect an occurrence of a variation according to variations in the average value of each image zone.

13. A device according to claim 12, wherein the detector is further configured to receive the threshold value for each image zone.

14. A device according to claim 12, wherein the detector is further configured to receive an inhibition parameter for inhibiting the detection of variation in certain image zones.

15. A device according to claim 12, wherein the detector is further configured, for each image zone, to calculate the average value MR(t,i) of the image zone using three components calculated from three components of each pixel of the image zone.

16. A device according to claim 12, wherein the detector is further configured, for each image zone, to calculate an average value of the image zone combining three components of each pixel of the image zone.

17. A device according to claim 12, the detector further configured to transmit a number of image zones in which an occurrence of a variation has been detected in the subject image.

18. A device according to claim 11, wherein the device is a video camera.

19. A device according to claim 11, comprising:

plural video cameras, each of the plural video cameras configured to capture a respective subject image of a respective zone being monitored by the video camera, analyze the respective subject image to detect an occurrence of a variation in the respective subject image compared to an image previously captured by the video camera, and

a controller coupled to the video cameras and configured to select the respective subject image to be transmitted coming from a respective one of the plural video cameras that captured the respective subject image based on the occurrence of the variation in the respective subject image.

20. A device according to claim 19, wherein the controller is further configured to transmit the respective subject image of the respective one of the several video cameras based on detecting an occurrence of a variation in a largest number of image zones of the respective subject image, when each of multiple of the several video cameras have detected an occurrence of a variation in an image zone of an respective subject image.

21. A video surveillance system, comprising:

one or more video camera modules, each video camera module configured to capture a subject image of a zone being monitored by the video camera, analyze the subject image to detect an occurrence of a variation in the subject image compared to a previously captured image, and transmit the subject image if the occurrence has been detected in the subject image; and

a controller configured to select the subject image to be transmitted from a respective one of the one or more video cameras that captured the subject image, according to the occurrence of the variation in the subject image, wherein the video camera module is further configured to;

divide the subject image into image zones; and

detect an occurrence of a variation in the subject image if a condition is confirmed in at least one image zone of the subject image, the condition being;

|MR(t,i)−

MRF(t−

1,i)|≧

G(i)·

VRF(t−

1,i),

in which MR(t,i) is the average value of pixels of the image zone i in the subject image t, MRF(t−

1,i) is an average value of pixels of the image zone i calculated on several previous images from a previous image t−

1, G(i) is a threshold value defined for the image zone i and VRF(t−

1,i) is an average variance value calculated on several previous images from the previous image t−

1.

22. The video surveillance system of claim 21, wherein the video camera module is further configured to calculate an average value of all pixels of each image zone and detect an occurrence of a variation in the subject image based on variations in the average value of each image zone.

23. The video surveillance system of claim 21, wherein the video camera module is further configured to transmit a number of image zones in which an occurrence of a variation has been detected in the subject image.

24. The video surveillance system of claim 21, wherein the one or more video camera modules is comprised of several video camera modules, and wherein the controller is further configured, when multiple of the several video cameras each detect a variation in a respective subject image, to transmit the respective subject image that includes a largest number of images zones in which an occurrence of a variation has been detected.