Method and system for video zone monitoring

1. A method of monitoring selected zones in a scene depicted in a video stream:

receiving a definition of a zone of interest within the scene depicted in the video stream; and

in response to receiving the definition of the zone of interest:

determining, for each motion event detected in the video stream, whether a respective event mask of the motion event overlaps with the zone of interest by at least a predetermined overlap factor;

identifying the motion event as an event of interest associated with the zone of interest in accordance with a determination that the respective event mask of the motion event overlaps with the zone of interest by at least the predetermined overlap factor; and

generating the respective event mask for the motion event, wherein the generating includes:

creating binary motion pixel maps for frames of a video segment associated with the motion event; and

aggregating the binary motion pixel maps of frames of the video segment to generate the respective event mask for the motion event.

2. The method of claim 1 , further comprising:

receiving a first selection input from a user to select the zone of interest as a first event filter;

receiving a second selection input from the user to select one or more object features as a second event filter to be combined with the first event filter;

determining whether the identified event of interest includes at least one object in motion satisfying the one or more object features; and

generating a real-time alert for the user in accordance with a determination that the identified event of interest includes at least one object in motion satisfying the one or more object features.

3. The method of claim 2 , further comprising:

visually labeling the identified event of interest with a respective indicator associated with both the zone of interest and the one or more object features in an event review interface.

4. The method of claim 2 , wherein the one or more object features are features representing a human.

5. The method of claim 1 , wherein the definition of the zone of interest includes a plurality of vertices specified in the scene of the video recording.

6. The method of claim 1 , wherein the video stream is a live video stream, and wherein determining whether the respective event mask of the motion event overlaps with the zone of interest by at least a predetermined overlap factor further comprises:

processing the live video stream in real-time to detect a start of a live motion event;

generating a live event mask based on respective motion pixels associated with a respective object in motion identified in the live motion event; and

determining, in real-time, whether the live event mask overlaps with the zone of interest by at least the predetermined overlap factor.

7. The method of claim 1 , further comprising:

providing a composite video segment corresponding to the identified event of interest, the composite video segment including a plurality of composite frames each including a high-resolution portion covering the zone of interest, and a low-resolution portion covering regions outside of the zone of interest.

8. A computing system for monitoring selected zones in a scene depicted in a video stream, the computing system comprising:

one or more processors; and

memory having instructions stored thereon, the instructions, when executed by the one or more processors, cause the processors to perform operations comprising:

receiving a definition of a zone of interest within the scene depicted in the video stream; and

in response to receiving the definition of the zone of interest:

determining, for each motion event detected in the video stream, whether a respective event mask of the motion event overlaps with the zone of interest by at least a predetermined overlap factor;

identifying the motion event as an event of interest associated with the zone of interest in accordance with a determination that the respective event mask of the motion event overlaps with the zone of interest by at least the predetermined overlap factor; and

generating the respective event mask for the motion event, wherein the generating includes:

creating binary motion pixel maps for frames of a video segment associated with the motion event; and

aggregating the binary motion pixel maps of frames of the video segment to generate the respective event mask for the motion event.

9. The computing system of claim 8 , wherein the operations further comprise:

receiving a first selection input from a user to select the zone of interest as a first event filter;

receiving a second selection input from the user to select one or more object features as a second event filter to be combined with the first event filter;

determining whether the identified event of interest includes at least one object in motion satisfying the one or more object features; and

generating a real-time alert for the user in accordance with a determination that the identified event of interest includes at least one object in motion satisfying the one or more object features.

10. The computing system of claim 9 , wherein the operations further comprise:

visually labeling the identified event of interest with a respective indicator associated with both the zone of interest and the one or more object features in an event review interface.

11. The computing system of claim 9 , wherein the one or more object features are features representing a human.

12. The computing system of claim 8 , wherein the definition of the zone of interest includes a plurality of vertices specified in the scene of the video recording.

13. The computing system of claim 8 , wherein the video stream is a live video stream, and wherein determining whether the respective event mask of the motion event overlaps with the zone of interest by at least a predetermined overlap factor further comprises:

processing the live video stream in real-time to detect a start of a live motion event;

generating a live event mask based on respective motion pixels associated with a respective object in motion identified in the live motion event; and

determining, in real-time, whether the live event mask overlaps with the zone of interest by at least the predetermined overlap factor.

14. The computing system of claim 8 , wherein the operations further comprise:

providing a composite video segment corresponding to the identified event of interest, the composite video segment including a plurality of composite frames each including a high-resolution portion covering the zone of interest, and a low-resolution portion covering regions outside of the zone of interest.

15. A non-transitory computer-readable medium for monitoring selected zones in a scene depicted in a video stream, the non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising:

receiving a definition of a zone of interest within the scene depicted in the video stream; and

in response to receiving the definition of the zone of interest:

determining, for each motion event detected in the video stream, whether a respective event mask of the motion event overlaps with the zone of interest by at least a predetermined overlap factor;

identifying the motion event as an event of interest associated with the zone of interest in accordance with a determination that the respective event mask of the motion event overlaps with the zone of interest by at least the predetermined overlap factor; and

generating the respective event mask for the motion event, wherein the generating includes:

creating binary motion pixel maps for frames of a video segment associated with the motion event; and

aggregating the binary motion pixel maps of frames of the video segment to generate the respective event mask for the motion event.

16. The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

receiving a first selection input from a user to select the zone of interest as a first event filter;

receiving a second selection input from the user to select one or more object features as a second event filter to be combined with the first event filter;

determining whether the identified event of interest includes at least one object in motion satisfying the one or more object features; and

generating a real-time alert for the user in accordance with a determination that the identified event of interest includes at least one object in motion satisfying the one or more object features.

17. The non-transitory computer-readable medium of claim 16 , wherein the operations further comprise:

visually labeling the identified event of interest with a respective indicator associated with both the zone of interest and the one or more object features in an event review interface.