SELF-LEARNING SPATIAL RECOGNITION SYSTEM
A method includes detecting a first object entering a first video frame of a plurality of video frames of a view of a geolocation and determining, from the plurality of video frames, that the first object has stopped in an area of the geolocation for at least a threshold amount of time. The method also includes detecting the first object leaving a second video frame of the plurality of video frames, and identifying, by a computer processing device, the area of the geolocation as a region of interest based on the detecting the first object leaving.
1 . A method, comprising:
detecting a first object entering a first video frame of a plurality of video frames of a view of a geolocation;
detecting the first object leaving a second video frame of the plurality of video frames; and
identifying, by a computer processing device, an area of the geolocation as a region of interest based on the detecting the first object leaving.
2 . The method of claim 1 , comprising:
generating, based on the region of interest, a map comprising the geolocation.
3 . The method of claim 2 , comprising:
determining that a second object occupies the region of interest; and
marking the region of interest on the map as occupied.
4 . The method of claim 2 , comprising:
determining that the region of interest has not been occupied for a predetermined amount of time; and
removing the region of interest from the map.
5 . The method of claim 1 , wherein the region of interest comprises a parking spot, and wherein the first object comprises a vehicle and wherein the method further comprises determining, from the plurality of video frames, that the first object has stopped in the area of the geolocation for at least a threshold amount of time.
6 . The method of claim 1 , comprising:
receiving the plurality of video frames from a live video source.
7 . The method of claim 6 , wherein the plurality of video frames are received from the live video source via a publish-subscribe communication system.
8 . The method of claim 1 , further comprising determining, from the plurality of video frames, that the first object has stopped in the area of the geolocation for at least a threshold amount of time, wherein the threshold amount of time is selected to differentiate between different objects in the plurality of video frames.
9 . The method of claim 1 , comprising:
detecting boundaries of the region of interest by extracting a difference between an image of an occupied region of interest and an image of a same unoccupied region of interest.
10 . The method of claim 1 , comprising:
determining that a size of the first object changes less than a predetermined threshold between the first video frame and the second video frame.
11 . A system, comprising:
a computer processing device programmed to perform operations to:
detect a first object entering a first video frame of a plurality of video frames of a view of a geolocation;
detect the first object leaving a second video frame of the plurality of video frames; and
identify an area of the geolocation as a region of interest based on the detecting the first object leaving.
12 . The system of claim 11 , the computer processing device further to:
generate, based on the region of interest, a map comprising the geolocation.
13 . The system of claim 12 , the computer processing device further to:
determine that a second object occupies the region of interest; and
mark the region of interest on the map as occupied.
14 . The system of claim 12 , the computer processing device further to:
determine that the region of interest has not been occupied for a predetermined amount of time; and
remove the region of interest from the map.
15 . The system of claim 11 , wherein the computer processing device further to determine, from the plurality of video frames, that the first object has stopped in an area of the geolocation for at least a threshold amount of time, wherein the region of interest comprises a parking spot, and wherein the first object comprises a vehicle.
16 . The system of claim 11 , the computer processing device further to:
receive the plurality of video frames from a live video source.
17 . The system of claim 16 , wherein the plurality of video frames are received from the live video source via a publish-subscribe communication system.
18 . The system of claim 11 , wherein the computer processing device further to determine, from the plurality of video frames, that the first object has stopped in an area of the geolocation for at least a threshold amount of time, and wherein the threshold amount of time is selected to differentiate between different objects in the plurality of video frames.
19 . The system of claim 11 , the computer processing device further to:
detect boundaries of the region of interest by extracting a difference between an image of an occupied region of interest and an image of a same unoccupied region of interest.
20 . A non-transitory computer-readable medium having instructions stored thereon that, when executed by a computer processing device, cause the computer processing device to:
detect a first object entering a first video frame of a plurality of video frames of a view of a geolocation;
detect the first object leaving a second video frame of the plurality of video frames; and
identify an area of the geolocation as a region of interest based on the detecting the first object leaving.