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 camera-to-camera control system, comprising:
a first camera having a fixed field of view, the first camera being trained to distinguish between an anticipated change in the fixed field of view and an unanticipated change caused by an object of interest in the fixed field of view; and
a second camera communicatively coupled to the first camera and having a second field of view that is at least partially contained within, and moveable within, the fixed field of view, the second camera adapted to:
receive camera control instructions from the first camera in response to the first camera detecting the unanticipated change caused by the object of interest in the fixed field of view, the camera control instructions comprising one or more of:
instructions for tilting the second camera;
instructions for panning the second camera;
instructions for zooming the second camera; or
instructions for tracking movement of the object of interest as the object of interest moves through the fixed field of view.
2. The camera-to-camera control system of claim 1 , wherein the camera control instructions further comprise instructions for capturing one or more images of the object of interest as the object of interest moves within the fixed field of view.
3. The camera-to-camera control system of claim 1 , wherein the fixed field of view is divided into at least a first zone and a second zone.
4. The camera-to-camera control system of claim 3 , wherein a size of at least one of the first zone or the second zone is automatically determined.
5. The camera-to-camera control system of claim 3 , wherein a size of at least one of the first zone or the second zone is based, at least in part, on received input.
6. The camera-to-camera control system of claim 1 , wherein the camera control instructions comprise movement speed instructions for the second camera.
7. The camera-to-camera control system of claim 1 , wherein the anticipated change is a result of an environmental condition.
8. The camera-to-camera control system of claim 1 , wherein the anticipated change is a result of a current time of a day.
9. A method, comprising:
capturing a first set of one or more images of an area of interest using a first camera having a first field of view;
training the first camera, using the first set of one or more images, to ignore anticipated changes that occur within the area of interest;
capturing a second set of one or more images of the area of interest;
detecting based, at least in part, on the second set of the one or more images, an unanticipated change within the area of interest;
in response to detecting the unanticipated change within the area of interest, causing the first camera to send camera control instructions to a second camera having a second field of view within the area of interest, the camera control instructions comprising at least one of:
pan, tilt and/or zoom instructions that cause the second camera to alter the second field of view within the area of interest; or
instructions to capture one or more images of the area of interest.
10. The method of claim 9 , wherein the camera control instructions further comprise instructions for capturing one or more images of an object of interest within the area of interest.
11. The method of claim 10 , wherein the camera control instructions further comprise instructions for tracking movement of the object of interest.
12. The method of claim 9 , further comprising causing the first camera to send the camera control instructions to a third camera.
13. The method of claim 12 , wherein the second camera is associated with a first priority and the third camera is associated with a second priority.
14. The method of claim 9 , wherein the anticipated changes are a result of an environmental condition.
15. The method of claim 9 , wherein the anticipated changes are a result of a current time of a day.
16. A method, comprising:
training a first camera of a camera-to-camera control system to ignore anticipated changes within a fixed field of view of the first camera;
upon completion of the training, detecting an unanticipated change caused by an object of interest in the fixed field of view; and
causing the first camera to send camera control instructions to a second camera, the second camera having a second field of view that is at least partially within the first field of view, the camera control instructions comprising instructions for causing the second camera to track movement of the object of interest.
17. The method of claim 16 , further comprising causing the second camera to capture one or more live images of the object of interest as the object of interest moves.
18. The method of claim 16 , wherein the training comprises applying a filter to one or more captured images.
19. The method of claim 16 , wherein the camera control instructions include movement speed instructions for the second camera as the second camera tracks the movement of the object of interest.
20. The method of claim 16 , wherein the anticipated changes are changes in an environment within the fixed field of view.