Image Detection Method

• US 20090060270A1
• Filed: 10/12/2007
• Published: 03/05/2009
• Est. Priority Date: 08/29/2007
• Status: Abandoned Application

• Current Assignee: Micro-Star International Co., Ltd.
• Original Assignee: Micro-Star International Co., Ltd.
• Inventors: Hsu, Ruei-Chang, Lee, Pin-Chang
• Application Number:
  US11/871,429
• Publication Number:
  US 20090060270A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G08B 13/194 using image scanning and comparing systems
• CPC Class Codes: G08B 13/196 using television cameras

Abstract

An image detection method is performed by a computer to determine whether or not an image in a region shot by a camera changes. According to the method, consecutive images shot by the camera are captured, and at least one anchored frame for the consecutive images is set. Whether or not the images in the anchored frame should or should not change is determined, and a signal is transmitted to determine whether or not the detected region is normal or not. Then, a notification signal is transmitted automatically to remind supervisors to closely observe the detected region.

Claims

1. An image detection method, performed by a computer, for determining whether or not an image shot by a camera changes, the image detection method comprising:

capturing at least one consecutive image shot by the camera;

setting at least one anchored frame for the consecutive images;

setting the images in the anchored frames to change in a time parameter;

performing a step of determining the image change, and outputting a first signal when the images change in the time parameter; and

setting the images in the anchored frames not to change in the time parameter;

performing the step of determining the image change, and outputting a second signal when the images do not change in the time parameter.

2. The image detection method as claimed in claim 1, further comprising outputting a third signal when the images in the anchored frames are set to change in the time parameter but do not change.

3. The image detection method as claimed in claim 1, further comprising outputting a fourth signal when the images in the anchored frames are set not to change in the time parameter but have been changed.

4. The image detection method as claimed in claim 1, wherein the first signal and the second signal are normal signals.

5. The image detection method as claimed in claim 2, wherein the third signal is an abnormal signal.

6. The image detection method as claimed in claim 3, wherein the fourth signal is an abnormal signal.

7. The image detection method as claimed in claim 4, wherein the image detection method expresses a normal signal through one selected from a group consisting of an alert message, an alert lamp, and an alert sound.

8. The image detection method as claimed in claim 5, wherein the image detection method expresses an abnormal signal through one selected from a group consisting of an alert message, an alert lamp, and an alert sound.

9. The image detection method as claimed in claim 1, wherein the step of determining the image change comprises:

capturing two consecutive images shot in the time parameter;

comparing an RGB value of each pixel in the anchored frames of the consecutive images, and calculating an RGB value variation; and

if the RGB value variation exceeds a recommended value, determining the images in the anchored frames change.

10. The image detection method as claimed in claim 9, wherein the RGB value variation is a mean-square error (MSE) of the RGB values.

11. The image detection method as claimed in claim 3, further comprising setting a detection frequency parameter, so as to control the frequency for detecting the image change, wherein:

when the first and second signals are continuously received, the detection frequency parameter is reduced; and

when the third and fourth signals are continuously received, the detection frequency parameter is increased.

12. An image detection method, performed by a computer, for determining whether or not images shot by a camera change, the image detection method comprising:

capturing at least one consecutive image shot by the camera;

setting at least one anchored frame for the consecutive images;

setting the images in the anchored frames to change in a first time parameter;

performing a step of determining the image change, and outputting a first signal when the images change in the first time parameter; and

setting the images in the anchored frames not to change in a second time parameter;

performing the step of determining the image change, and outputting a second signal when the images do not change in the second time parameter.

13. The image detection method as claimed in claim 12, further comprising outputting a third signal when the images in the anchored frames are set to change in the first or the second time parameter but do not change.

14. The image detection method as claimed in claim 12, further comprising outputting a fourth signal when the images in the anchored frames are set not to change in the first or the second time parameter but change.

15. The image detection method as claimed in claim 12, wherein the first and second signals are normal signals.

16. The image detection method as claimed in claim 13, wherein the third signal is an abnormal signal.

17. The image detection method as claimed in claim 14, wherein the fourth signal is an abnormal signal.

18. The image detection method as claimed in claim 12, wherein the first and second time parameters are adjustable time parameters.

19. The image detection method as claimed in claim 12, wherein the anchored frames are respectively set with the corresponding first or second time parameter.