The present disclosure provides video processing methods, apparatuses and systems. The method includes: obtaining a to-be-processed video, where the to-be-processed video is obtained by performing feature removal processing for one or more objects in an original video; obtaining a feature restoration processing request for one or more to-be-processed objects; according to the feature restoration processing request for the one or more to-be-processed objects, obtaining feature image information corresponding to the one or more to-be-processed objects, where the feature image information for one of the one or more to-be-processed objects includes pixel position information of all or part of features for the one of the one or more to-be-processed objects in the original video; according to the feature image information for the one or more to-be-processed objects, performing feature restoration processing for the one or more to-be-processed objects in the to-be-processed video.

Provided is a method of protecting private information from illegal photography by an unmanned aerial vehicle, which includes receiving information about an area to capture, from the unmanned aerial vehicle or an unmanned aerial vehicle pilot, in advance, by wired or wireless communication, transmitting the information about an area to capture, to a private information protection subject who wants to protect private information about the area to capture, by wired or wireless communication, receiving information about a first action to protect private information accompanying image capturing, from the private information protection subject, by wired or wireless communication, and transmitting the information about a first action to protect private information, the information being received from the private information protection subject, to the unmanned aerial vehicle or the unmanned aerial vehicle pilot who is going to capture an image, by wired or wireless communication.

A method for partially unmasking an object in a video stream comprises: displaying a first video stream in which objects are covered by privacy masks; receiving user input regarding a selection of an object being covered by a privacy mask, wherein the object has a first portion being associated with a first privacy level and a second portion being associated with a second, higher, privacy level; checking that a permission associated with the user input grants access to video data depicting object portions being associated with the first privacy level; giving access to video data depicting the first portion of the object; and displaying a second video stream which differs from the first video stream in that it includes the video data depicting the first portion of the object, while the second portion of the object is still covered by a privacy mask.

Systems and methods are disclosed and an example system includes a digital image receiver for receiving a digital image, and an automatic obscuration processor coupled to the image receiver and configured to determine whether the digital image includes a region that classifies as an image of a category of object and, upon a positive determination, to obscure the region and output a corresponding obscured-region digital image.

It is provided a method for controlling camera-based supervision of a physical space. The method is performed in a supervision controller and comprises the steps of: determining that a person enters the physical space; deactivating camera-based supervision of the physical space based on the person entering the physical space, by turning off a video feed of the camera-based supervision; determining that a person exits the physical space; and activating camera-based supervision of the physical space based on the person exiting the physical space.

Methods, systems, and apparatus are described herein for tracking objects and managing data. One or more objects may be determined in a first image. An avatar may be generated which is associated with the one or more objects in the first image. A second image may be received. The second image may comprise a change in at least one object of the one or more objects. Based on the change, in the at least one object, the avatar may be updated and the information kept for a predetermined period of time.

A tool for providing contextual policy-based computer vision control. The tool identifies one or more camera devices in an environment. The tool determines a plurality of vision areas in a field of view within the environment. The tool determines one or more contextual policies for the plurality of vision areas in the field of view. The tool determines one or more vision augmentations for the plurality of vision areas based, at least in part, on an aggregate computer vision capability of the one or more camera devices in the environment and the one or more contextual policies for the plurality of vision areas in the field of view. The tool applies the one or more vision augmentations to at least one of the one or more camera devices in the environment.

Methods, systems, apparatus, and computer programs, for tracking objects are disclosed. In one aspect, a method is disclosed that includes actions of obtaining an image, determining that a user of a first monitoring system has opted-in for object tracking by a second monitoring system that is remote from the first monitoring system, and based on a determination that the user of the first monitoring system has opted-in for object tracking: determining whether the obtained image satisfies a predetermined level of similarity to a stored tracking object image model stored on a first device of the first monitoring system, and based on a determination that the obtained image satisfies a predetermined level of similarity to the stored tracking object image model, generating a tracking update notification, and transmitting the tracking update notification to the second monitoring system that is remote from the first monitoring system.

A method for performing property surveillance via an unmanned aerial vehicle is provided. Surveillance of one or more properties via an unmanned aerial vehicle is obtained. A geofence that determines boundaries of one of the properties is created using the surveillance. Surveillance outside the geofence for the property is blurred. The blurred surveillance is provided to an owner of that property.

A method and system for detecting a person falling, confirming a potential fall, and taking action to mitigate the effects of a fall.