Autonomous camera-to-camera change detection system
Embodiments disclosed herein are directed to an autonomous camera-to-camera scene change detection system whereby a first camera controls a second camera without human input. More specifically, a first camera having a field of view may receive and process an image. Based on the processed image, the first camera sends instructions to a second camera to focus in on an area of interest or a target identified in the processed image.
1. A method of capturing an image, comprising:
receiving a reference image at a first image sensor having a particular field of view;
receiving a second image at the first image sensor having the particular field of view;
comparing the second image to the reference image to determine one or more changes between the second image and the reference image caused by changing environmental conditions in the particular field of view of the first image sensor;
comparing the second image to the reference image to determine one or more anticipated changes in a particular zone within the particular field of view between the second image and the reference image;
generating a software filter using the one or more changes caused by changing environmental conditions and the one or more anticipated changes;
capturing a third image at the first image sensor, the third image having the particular field of view; and
applying the generated software filter to the third image to remove changes caused by the environmental conditions and the one or more anticipated changes from the third image and to identify unexpected changes in the field of view.
2. The method of claim 1 , further comprising determining an area of interest in the third image.
3. The method of claim 2 , further comprising sending control instructions from the first image sensor to a second image sensor, wherein the control instructions are based, at least in part, on the determined area of interest.
4. The method of claim 3 , wherein the second image sensor is a pan tilt and zoom (PTZ) camera.
5. The method of claim 1 , wherein the first image sensor is a fixed camera.
6. The method of claim 1 , further comprising providing the third image to a synthesizer.
7. The method of claim 1 , further comprising determining an area within the third image that is not an area of interest.
8. A system, comprising:
at least one processor; and
a memory coupled to the at least one processor, the memory for storing instructions that, when executed by the at least one processor, perform a method, comprising:
receiving a reference image at a first image sensor having a particular field of view;
receiving a second image at the first image sensor having the particular field of view;
comparing the second image to the reference image to determine one or more changes between the second image and the reference image caused by changing environmental conditions in the particular field of view of the first image sensor;
comparing the second image to the reference image to determine one or more anticipated changes between the second image and the reference image;
generating a software filter using the one or more changes caused by the changing environmental conditions and the one or more anticipated changes;
capturing a third image at the first image sensor, the third image having the particular field of view; and
applying the generated software filter to the third image to remove changes caused by the environmental conditions and the one or more anticipated changes from the third image and to identify unexpected changes in the field of view.
9. The system of claim 8 , further comprising instructions for determining an area of interest in the third image.
10. The system of claim 8 , further comprising instructions for sending control instructions from the first image sensor to a second image sensor, wherein the control instructions are based, at least in part, on the determined area of interest.
11. The system of claim 8 , wherein the first image sensor is a fixed camera.
12. The system of claim 8 , further comprising instructions for providing the third image to a synthesizer.
13. The system of claim 8 , further comprising instructions for determining an area within the third image that is not an area of interest.
14. A method for capturing an image, comprising:
receiving a first image at a first image sensor having a particular field of view;
receiving a second image at the first image sensor having the particular field of view;
comparing the second image to the first image to determine:
changes between the first image and the second image caused by environmental conditions; and
at least one area within the particular field of view that include anticipated changes between the first image and the second image;
generating a software filter using the determined changes caused by environmental conditions and the at least one area;
capturing a third image at the first image sensor, the third image having the particular field of view; and
applying the generated software filter to the third image to identify an unexpected change in the field of view.
15. The method of claim 14 , further comprising filtering noise from the third image.
16. The method of claim 14 , further comprising identifying a cluster of pixels within the third image.
17. The method of claim 16 , wherein the cluster of pixels is the unexpected change.
18. The method of claim 14 , further comprising sending instructions to a second image sensor, wherein the instructions cause the second image sensor to capture additional images associated with the unexpected change.
19. The method of claim 14 , further comprising sending instructions to a second image sensor, wherein the instructions cause the second image sensor to focus in on the unexpected change.
20. The method of claim 19 , wherein the second image sensor is a pan tilt and zoom camera.