Video background blur using location data
Methods and systems for providing background blur in video data are provided herein. The method includes receiving, by an electronic processor, video data from a video capture device and receiving, by the electronic processor, location data for an object in the video data from a range sensor, wherein the location data indicates a distance of the object from the video capture device. The method also includes determining, by the electronic processor, a zone of inclusion for the video data based on the video data and the location data and applying continuous and undisrupted background blur to pixels of the video data located outside the zone of inclusion.
1 . A computer-implemented method for performing background blurring in video data, the method comprising:
receiving, by a computing system comprising one or more computing devices, video data from a video capture device, wherein the video capture device is a user device in communication with one or more participant devices via a network;
determining, by the computing system, location data for a user in the video data using a sensor, wherein the location data indicates a distance of the user from the video capture device;
determining, by the computing system, a zone of inclusion for the video data based on the video data and the location data by identifying pixels in the video data associated with physical distances within a threshold range of distances;
applying, by the computing system, background blur to pixels of the video data located outside the zone of inclusion; and
communicating, by the computing system, the video data to the one or more participant devices via the network.
2 . The computer-implemented method of claim 1 , wherein the sensor is a range sensor selected from a group of range sensors consisting of a radar sensor and a lidar sensor.
3 . The computer-implemented method of claim 1 , wherein determining location data for the user in the video data comprises:
identifying, by the computing system, one or more pixels of the video having distances from the sensor within a shared range; and
identifying, by the computing system, the presence of the user based on the one or more pixels.
4 . The computer-implemented method of claim 3 , wherein the one or more pixels are indicative of the user being a closest user in the video data to the sensor.
5 . The computer-implemented method of claim 4 , wherein the zone of inclusion comprises the one or more pixels.
6 . The computer-implemented method of claim 5 , wherein the one or more pixels are unblurred, and wherein all pixels in the video data that are not the one or more pixels are blurred.
7 . The computer-implemented method of claim 1 , wherein the zone of inclusion is defined by a boundary of exclusion, and wherein pixels within the boundary of exclusion are unblurred and all pixels outside the boundary of exclusion are blurred.
8 . The computer-implemented method of claim 1 , wherein the sensor collects data indicative of the distance of the user from the video capture device and provides the data to the computing system as the location data.
9 . The computer-implemented method of claim 1 , wherein the sensor is a second video capture device and the location data comprises video data from the video capture device and the second video capture device, and wherein determining the zone of inclusion includes:
determining, based on the location data, a distance of the user from the video capture device using parallax to determine a location of the user in the video data.