A method, performed by an image processing device, of encrypting image data includes: selecting an encryption target unit from among a plurality units constituting an image; generating a table including identification information about the encryption target unit; generating a first encryption unit including data obtained by encrypting the encryption target unit; generating a second encryption unit including data obtained by encrypting the table; and generating a bitstream including the first encryption unit, the second encryption unit, and units other than the encryption target unit among the plurality of units constituting the image.

A motion detection method includes providing a buffer including a first buffer associated with a background image and a second buffer associated with a foreground image; checking first similarity between the gray level of an input pixel and the first gray level of the first buffer; determining the input pixel as a still pixel if the first similarity is true; checking second similarity between the gray level and the second gray level of the second buffer; determining the input pixel as a moving pixel if the second similarity is false; determining the input pixel as the moving pixel if the second count value is less than the first count value; and determining the input pixel as the still pixel and swapping the first buffer with the second buffer, if the second count value is not less than the first count value.

An image processing method is provided. The method includes acquiring a video. The method includes using an object detection engine to detect a person in the video. The object detection engine is integrated with an image signal processing pipeline. The method includes transmitting the video over a network. The method includes determining that the detected person has moved less than a pre-set distance. The method includes, responsive to the determining, pausing transmission of the video. An embedded image processor including an object detection engine is also provided.

This document describes techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition. The techniques described herein enable an electronic device (e.g., security camera) to determine the likelihood of an event of interest (e.g., latency-critical event) occurring in data (e.g., audio and/or video) captured by the electronic device. To make such a determination, the electronic device may switch upload modes to upload the data, using a different batch size to reduce latency, to another device for user access, based on the likelihood of an event of interest occurring in the data. In this way, the techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition provide an efficient way to provide all-day security monitoring.

A gateway of a surveillance system, the gateway includes: a communication module configured to communicate with a plurality of network cameras including a first network camera and a second network camera; and a processor configured to recognize a motion of a subject based on event information transmitted by the first network camera and to transmit subject information generated based on the motion of the subject to the second network camera.

A security system can be configured to mount to a power outlet. The security system can include an outwardly facing portion configured to face away from the power outlet and an inwardly facing portion having a first electrical prong and a second electrical prong that protrude into the power outlet to mount the security system to the power outlet. The security system can also include a detection system comprising a camera and a motion detector.

A process for operating an electronic computing device to assign video streams to watcher devices. The electronic computing device detects objects of interest within a field-of-view of a camera as a function of incident context information. The electronic computing device obtains video display characteristics associated with watcher devices and further determines, based on respective positions of the objects of interest within the field-of-view, a plurality of sub-regions each enclosing at least one of the detected objects of interest and having one or more video attributes. The electronic computing device then assigns, based on the video display characteristics associated with the watcher devices and the video attributes of the sub-regions, each of the sub-regions to a respectively selected one of the watcher devices. The video streams respectively captured corresponding to each of the assigned sub-regions of interest are then transmitted to the respectively selected one of the watcher devices.

An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and a user-defined identity and generate encoded video frames from the video frames. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The video frames comprising the user-defined identity without a second person may be excluded from the encoded video frames.

The present disclosure relates to a method performed by a background blurring system (1) for provision of a video compression stream from a video camera (2) adapted for capturing a scene. The background blurring system identifies (1001) in a first image of the scene, at a first point in time, at least a first pixel comprised in a background of the first image. The background blurring system further determines (1002) a blurred pixel value for the at least first pixel. Moreover, the background blurring system provides (1003), subsequent the first point in time, the blurred pixel value in the video compression stream. The background blurring system furthermore identifies (1004) in a second image of the scene, at a subsequent second point in time, that the at least first pixel has altered to be comprised in a foreground of the second image. Moreover, the background blurring system provides (1005) in the video compression stream, subsequent the second point in time—continuously and/or intermittently—identified non-blurred pixel values for the at least first pixel. The background blurring system further identifies (1006) in a third image of the scene, at a subsequent third point in time, that the at least first pixel has altered to be comprised in a background of the third image, wherein a value of the at least first pixel has remained unchanged from an intermediate point in time up to the third point in time. Furthermore, when the third point in time is within a predeterminable background merge time period from the intermediate point in time, the background blurring system provides (1007), subsequent the third point in time, the blurred pixel value in the video compression stream. The disclosure also relates to a background blurring system in accordance with the foregoing, a video camera comprising such a background blurring system, and a respective corresponding computer program product and non-volatile computer readable storage medium.

A system provides a transformed video stream from, a publicly or privately owned and operated camera bearing on an in-scope location vicinity, to, a responding emergency service agency (ESA). A request from an emergency services agent's display terminal includes location indicia and elicits a map of cameras bearing on the location vicinity as well as other display terminals in the area. Upon request, an application programming interface enables a video stream to comply with the privacy and access settings of the camera owner/operators. A plurality of private and public security surveillance cameras is coupled to a server. Exterior/street view video images are streamed to the server which may contact an owner for emergency access. An emergency agency vehicle at a location has a display for a selected gallery of obfuscated exterior/street views from cooperative networks of public and private security cameras bearing on the vicinity of an incident.