Abstract: A method for masking of objects in a video stream, the method comprising: acquiring a video stream; detecting an object in the video stream; determining whether the detected object belongs to a foreground of the video stream indicative of moving objects or to a background of the video stream indicative of static objects; classifying the detected object to be of a specific type using a first classifier if the detected object is determined to belong to the foreground, and using a second classifier if the detected object is determined to belong to the background, the first classifier being different from the second classifier, and if the detected object is classified as being of the specific type of object, masking the object in the video stream.

Abstract: A camera device includes an optics unit and a sensor unit releasably connectable to each other, and an electronic accessory releasably connectable to the optics unit by means of a threaded fitting associated with a rotation axis, wherein the optics unit comprises optics unit connectors, which in an assembled state of the camera device each is aligned and in contact with an associated electronic accessory connector of the electronic accessory thereby forming an electric connection between the electronic accessory and the sensor unit via the optics unit, wherein the optics unit connectors and the associated electronic accessory connectors form a first group consisting of at least one optics unit connector and associated electronic accessory connector arranged for power transfer and a second group consisting of at least one optics unit connector and associated electronic accessory connector arranged for signal transfer.

Abstract: Image encoding within a pixelated privacy mask area is adapted in order to reduce flickering during movement of a camera. Motion vectors are set equal to the movement of the camera, and residuals are set to zero, thereby encoding pixel blocks within the privacy mask area as copies of corresponding pixel blocks in a reference image.

Abstract: A method for displaying a video stream of a scene captured by a monitoring camera on a display of a remote client device comprises receiving, at the client device, the video stream and information indicating an on/off status for an IR-illuminator illuminating the scene; setting a display setting of the display differently based on upon the on/off status for the IR-illuminator; and displaying the video stream on the display using the display setting. The client device comprises a display, a receiver which receives a video stream from the monitoring camera, and a control circuit. The control circuit executes an IR-illuminator status function to extract information indicating on/off status for the IR-illuminator illuminating the scene, a display setting function of the display differently upon the on/off status for the IR-illuminator, and a displaying function displays the video stream on the display using the setting set by the display setting function.

Abstract: A method, a computer program product, an encoder and a monitoring device for encoding an audio signal with variable bitrate, wherein: an audio signal comprising a plurality of successive audio frames is received; and for each successive audio frame of the audio signal: the audio frame is represented in a frequency domain with respect to a plurality of frequency sub-bands; the audio frame is classified in each frequency sub-band as either background or foreground using a background model specific to the frequency sub-band; each successive audio frame of the audio signal is encoded, wherein a number of bits is allocated for each frequency sub-band of the audio frame, wherein the number of bits allocated for a frequency sub-band is higher if the audio frame is classified as foreground in the frequency sub-band than if the audio frame is classified as background in the frequency sub-band.

Abstract: A system and camera device for displaying collected sensor data together with images comprises an image capturing unit, a communication interface, and processing circuitry. The image capturing unit is configured with a variable zoom level. The method comprises capturing, by the image capturing unit, images depicting a scene; communicating, by the communication interface, with a user interface for displaying the images and with a sensor device for obtaining collected sensor data from the sensor device for display on the user interface together with the images; and configuring, by the processing circuitry and via the communication interface, the sensor device to provide the collected sensor data at a higher frequency of occurrence when the image capturing unit captures images with a zoom level above a zoom threshold value and depicting the sensor device than when the image capturing unit captures images with a zoom level is below the zoom threshold value.

Abstract: A device may include a memory storing instructions and a processor configured to execute the instructions to receive an instruction from an administration device; identify a link selector in the instruction that corresponds to a resource attribute of a first resource that specifies how a second resource is to be controlled by the first resource; query a database of contracts between resources to determine that the second resource is available to be controlled by the first resource, based on resource contracts associated with the second resource. The processor may be further configured to generate a resource contract between the first resource and the second resource that indicates the second resource is controlled by the first resource and enable the first resource to communicate with the second resource in accordance with the generated resource contract.

Abstract: There is provided an image pipeline and a method therein for intra-coding an image frame. The image pipeline comprises a processing part followed by an encoding part supporting a plurality of intra-prediction modes used for intra-coding image frames. The method comprises receiving an image frame and for at least one block of pixel values in the image frame: predicting pixel values of the at least one block of pixel values using an intra-prediction mode supported by the encoding part and updating the image frame by adjusting at least one pixel value within the at least one block of pixel values so as to reduce a residual between the at least one pixel value and a corresponding predicted pixel value. Further, the method comprises intra-coding the updated image frame using at least one out of the plurality of intra-prediction modes.

Abstract: Methods and apparatus, including computer program products, for controlling a Pan-Tilt-Zoom (PTZ) camera. A video stream is provided by the PTZ camera. The video stream includes a main image and a smaller picture-in-picture overlay. The main image and the overlay show the same view. The overlay has both a higher frame rate and a lower resolution compared to the main image. A movement control instruction is received, by the PTZ camera, in response to an evaluation of at least one of the main image and the overlay.

Abstract: A networking arrangement is comprises a first network device for transmitting a data stream to a second network device over a network, the method comprises: transmitting a series of first packets to the second network device, each of the first packets having an transmission time and comprising a unique identification value, receiving, from the second network device, a second packet, the second packet indicating receipt of a least one of the first packets by the second network device, determining a standard round-trip time and determining a current round-trip time in dependence on a transmission time of an oldest first packet for which no indication of receipt has been received, and a receipt time of a most recently received second packet, determining an unused network bandwidth between the first network device and the second network device in dependence on the current round-trip time and standard round-trip time.

Abstract: A method for dewarping a region of a fisheye view image , captured by a fisheye lens wherein the fisheye view image comprises a first dewarping pole, DP1. The method defines a region of interest, ROI, determining a center, G, of the ROI, defining a temporary annulus sector region such that the temporary annulus sector region comprises the ROI, and has its center at DP1 and has a temporary outer arc shaped edge and a temporary inner arc shaped edge, defining a second dewarping pole, DP2 at a distance, D, from DP1 along a radial direction extending from G of the ROI through the DP1, setting a dewarping annulus sector region comprising the ROI. The dewarping annulus sector region has its center at DP2 and has its dewarping inner arc shaped edge maintained at a same radial distance from DP1 as the temporary inner arc shaped edge.

Abstract: Methods, systems, and computer program products, for training a multitask neural network. First and second datasets are provided, containing samples for a first task and a second task, respectively. First and second batch miners are provided for mining samples from the first and second datasets. First and second costs for completing the first and second tasks, respectively, are assessed using a first sample mined by the first batch miner from the first dataset and a second sample mined by the second batch miner from the second dataset. When the first or second cost, respectively, falls within a range delimited by lower and upper thresholds, the is added to a first or second batch, respectively. When a termination condition is reached for either the first or second batch, the first or the second batch is used to update the neural network.

Abstract: A method includes defining a background model of the video sequence by applying a first algorithm, the background model defining whether that spatial area belongs to a background or a foreground in the video sequence, wherein a detected significant change in image data in a spatial area in an image frame relative image data in said spatial area in a preceding image frame is indicative of said spatial area belonging to the foreground; indicating that an idle area of the defined foreground areas is to be transitioned from foreground to background; and determining whether the idle area is to be transitioned by applying a second algorithm to image data of an image frame of the video sequence, the image data at least partly corresponding to the idle area; wherein if the idle area is not to be transitioned, maintaining the idle area as a foreground area in the background model.

Abstract: A system, apparatus, computer program product, and method perform controlled video recording of video captured by a camera. The method includes checking by recorder circuitry of receipt of a ping signal sent from a server to the recorder, the ping signal being expected to be received by the recorder circuitry within a predetermined time interval after an earlier ping signal was received (or when an initial ping signal was expected to be received), in response to a determination by the recorder circuitry of not receiving the ping signal, entering an autonomous recording mode, the autonomous recording mode including recording video provided from at least one camera, and continuing operation of the autonomous recording mode until at least one of receiving another ping signal by the recorder circuitry, or receiving a control signal from the server that directs the recorder to stop recording the video provided from the at least one camera.

Abstract: A method for mapping a static scene using a stationary radar unit operative to transmit radar signals towards a scene, the stationary radar unit comprises a set of receiver antennas configured to detect radar signals from arbitrary directions, and the stationary radar unit is configured to measure target velocity in discrete velocity bins, the method comprising: continuously collecting radar signals over time to detect a static scene using the set of receiver antennas; constructing an occupancy map of the static scene using confirmed detections determined from the collected radar signals, where confirmed detections are detections with radar signal strength exceeding a detection threshold and with velocity falling in a zero velocity bin and detections with radar signal strength exceeding the detection threshold and with a non-zero velocity sufficiently low to cause spill over information in the same bin as detections falling in the zero velocity bin.

Abstract: A method for classifying tracks in radar detections of a scene acquired by a stationary radar unit, comprises: acquiring radar detections of the scene using the static radar unit; feeding at least a portion of the radar detections into a tracker module for producing track-specific feature data indicating a specific track in the scene, feeding at least a portion of the radar detections into a scene model comprising information about scene-specific features aggregated over time, and information indicating areas in the scene with expected ghost target detections and areas with expected real target detections, wherein at least a subset of the scene-specific features is determined from the radar detections; classifying the specific track as belonging to a real target or to a ghost target by relating the specific track to a position in the scene model.

Abstract: A method for identifying stationary regions in frames of a video sequence comprises receiving an encoded version of the video sequence, wherein the encoded version of the video sequence includes an intra-coded frame followed by a plurality of inter-coded frames; reading coding-mode information in the inter-coded frames of the encoded version of the video sequence, wherein the coding-mode information is indicative of blocks of pixels in the inter-coded frames being skip-coded; finding, using the read coding-mode information, one or more blocks of pixels that each was skip-coded in a respective plurality of consecutive frames in the encoded version of the video sequence; and designating each found block of pixels as a stationary region in the respective plurality of consecutive frames.

Abstract: An image processor and a method therein to provide a target image for evaluation with an object detector. The method comprises: obtaining a source image captured by a camera and depicting an object, and applying an inverse pixel transform to each target pixel of a target image to determine one or more source pixels located at a position in the source image corresponding to a position of each target pixel in the target image. The method further comprises assigning, to each target pixel, a target pixel value determined based on one or more source pixel values of the determined one or more source pixels located at the corresponding position, thereby is a size c in the target image of the depicted object of a specific object type normalized in at least one size dimension. Thereafter, the target image is fed to an object detector for evaluation.

Abstract: A device, and method of signing a video segment comprising one or more groups of pictures, GOPs, wherein each GOP comprises a header and one or more frames, are disclosed. For each of the one or more GOPs a GOP hash is produced and the GOP hash is digitally signed by means of a digital signature to produce a signed GOP hash. For each GOP except a last GOP of the one or more GOPs the respective signed GOP hash is saved in the header of a subsequent GOP. An additional GOP is added to the video segment after the last GOP of the one or more GOPs, wherein the additional GOP comprising a header and one or more frames. The signed GOP hash of the last GOP of the one or more GOPs is saved in the header of the additional GOP.