Systems and methods for automated visual surveillance
View Patent ↗Embodiments relate to systems, devices, and computer-implemented methods for performing automated visual surveillance by obtaining video camera coordinates determined using video data, video camera metadata, and/or digital elevation models, obtaining a surveillance rule associated with rule coordinates, identifying a video camera that is associated with video camera coordinates that include at least part of the rule coordinates, and transmitting the surveillance rule to a computing device associated with the video camera. The rule coordinates can be automatically determined based on received coordinates of an object. Additionally, the surveillance rule can be generated based on instructions from a user in a natural language syntax.
1. A computer-implemented method, comprising:
obtaining video camera coordinates associated with one or more video cameras, wherein the video camera coordinates are determined using video data from the one or more video cameras or metadata from the one or more video cameras, and wherein the video camera coordinates associated with a particular video camera represent possible fields of views for the particular video camera;
searching a plurality of electronically stored surveillance rules for a surveillance rule associated with rule coordinates for a particular fixed geographic area, wherein the rule coordinates are determined based on a digital map that includes the rule coordinates;
identifying a video camera of the one or more video cameras that is associated with video camera coordinates that include at least part of the rule coordinates; and
transmitting the surveillance rule to a computing device associated with the video camera.
2. The computer-implemented method of claim 1 , wherein the video camera coordinates are determined using one or more digital elevation models.
3. The computer-implemented method of claim 1 , wherein the video camera coordinates comprise coordinates in a current field-of-view of a video camera.
4. The computer-implemented method of claim 1 , further comprising:
determining that the surveillance rule is a high-priority rule;
transmitting instructions to the computing device associated with the video camera, wherein the instructions cause the video camera to adjust a position of the video camera to achieve a field-of-view that corresponds to rule coordinates of the high-priority rule.
5. The computer-implemented method of claim 1 , wherein the surveillance rule is at least one of a tripwire rule, an area of interest rule, or an approach rule.
6. The computer-implemented method of claim 1 , wherein the rule coordinates are automatically determined based on an input file that comprises coordinates of an object.
7. The computer-implemented method of claim 1 , wherein the surveillance rule is generated based on instructions from a user in a natural language syntax.
8. The computer-implemented method of claim 1 , wherein the rule coordinates are automatically determined based on an input name of a map object associated with the digital map, wherein the digital map includes coordinates of the map object.
9. The computer-implemented method of claim 1 , wherein the computing device monitors a field-of-view of the video camera based on the surveillance rule.
10. The computer-implemented method of claim 9 , wherein the computing device monitors a portion of the field-of-view corresponding to the rule coordinates.
11. The computer-implemented method of claim 9 , wherein the computing device generates an alert based on an object within the field-of-view of the video camera breaking the surveillance rule.
12. A system, comprising:
an output device;
a processor; and
a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to:
obtain video camera coordinates associated with one or more video cameras, wherein the video camera coordinates are determined using video data from the one or more video cameras or metadata from the one or more video cameras, and wherein the video camera coordinates associated with a particular video camera represent possible fields of views for the particular video camera;
search a plurality of electronically stored surveillance rules for a surveillance rule associated with rule coordinates for a particular fixed geographic area, wherein the rule coordinates are determined based on a digital map that includes the rule coordinates;
identify a video camera of the one or more video cameras that is associated with video camera coordinates that include at least part of the rule coordinates; and
cause the output device to transmit the surveillance rule to a computing device associated with the video camera.
13. The system of claim 12 , wherein the video camera coordinates are determined using one or more digital elevation models.
14. The system of claim 12 , wherein the rule coordinates are automatically determined based on an input file that comprises coordinates of an object.
15. The system of claim 12 , wherein the surveillance rule is generated based on instructions from a user in a natural language syntax.