Axis

A dome camera arrangement comprising one or more camera heads, arranged in a transparent dome is disclosed. Each camera head comprises an optics unit (118), a panning device, for moving the camera head in a panning movement, and a tilting device (110) for moving the camera head (104) in a tilting movement. The tilting device (110) has a pivot portion (116) and a cradle portion (112). The camera head further has a roll device (124) for rotating the optics unit (118) in a roll movement. A compensation lens (122) is arranged in a compensation lens fitting (120) in front of the optics unit, and the compensation lens fitting is connected to the panning device and the tilting device (110), such that the compensation lens (122) will move with the camera head in panning movement and tilting movement. However, the compensation lens fitting is disconnected from the same features such that the compensation lens (122) will not follow the optics unit (118) in roll movement, thus enabling an adequate optical compensation by means of the compensation lens.

This disclosure relates to a method (500), software and device for encoding a video sequence into an encoded video stream having a target resolution, comprising: encoding (S502) a first image frame of the video sequence using the base layer to encode the image frame in a first resolution being lower than the target resolution, and using the enhancement layer to encode at least a portion of image data of the first image frame to reach the target resolution; detecting (S504) an encoding scenario from a set of one or more predefined encoding scenarios; and encoding (S506) a second image frame of the video sequence using the base layer to encode the second image frame in the target resolution, and indicating in the encoded video stream that the second image frame is decodable in the target resolution using only the base layer.

A method and a device for stitching images and blending pixel data of respective images from each of at least three image sensors during a time period when an object passes through a combined view of the at least three image sensors. The combined view is a combination of a respective view of each of the at least three image sensors, and comprises a first region in which at least three of the views of the at least three image sensors overlap and through which the track passes. The method comprises obtaining a respective sequence of images from each of the at least three image sensors, detecting the object in the combined view, determining a location of the detected object, predicting a track of the object, identifying a minimal view set covering all portions of the track, and stitching and blending images captured at a same point in time from each of the sequences of images to a combined image corresponding to the combined view. The stitching and blending is such that, in a major proportion of a first portion of the combined image corresponding to the first region of the combined view, blending is performed using pixel data only from respective images from at most two image sensors and only from image sensors having views comprised in the minimal view set.

The present invention generally relates to a computer-implemented method for enabling video recreation, comprising: acquiring (S102), by a camera control unit (112), a video stream (300) comprising a set of image data packages (302, 303) each comprising coded image frames; transmitting (S104), by the control unit (112), at least a portion of the video stream to a client (116) across a communication network (114), receiving (S106), by the control unit (112), an acknowledgement message (306) for each image data package (303) that was successfully received by the client (116), storing (S108), in a digital memory (108) accessible to the control unit (112), the image data packages (303) for which an acknowledgement message (306) is received, and indications of successful receipt (308) at the client (116) of the corresponding image data packages (303).

A tracked state of a tracked object in a sequence of images is determined. A region of interest, ROI, is determined (210) in a current image. Based on at least one previous image from the sequence of images, motion information data of the current image is aggregated (220) to obtain an estimated current motion of the ROI. A predicted current state of the ROI is predicted, based on a previous state of the ROI, a plurality of object tracking models, and the estimated current motion of the ROI. The predicting (230) comprises selecting (232) at least one of the plurality of object tracking models to be used for predicting the predicted current state. The predicted current state of the ROI is associated (240) with the observed current state of the ROI to determine the tracked state of the tracked object.

This disclosure relates to methods 900, software, devices and systems for encoding an image frame in a video stream, such that a decoded version of the encoded image frame is provided with a first masked region. A block-aligned mask is applied S906 to the image frame being encoded and a pre-generated encoded image frame is used to transform the block-aligned masked region during decoding. The pre-generated encoded image frame contains motion vectors but no residual data, allowing for efficient transformation of a block-aligned masked region into the first masked region having an edge that cuts through coding blocks.

In an aspect, there is provided a method for performing digital image stabilization (DIS) on a sequence of video frames captured by an image capturing device, comprising: obtaining a sequence of motion values sampled from a motion signal while capturing the sequence of video frames such that each video frame is associated with a respective motion value; obtaining a sequence of position values sampled from a position signal while capturing the sequence of video frames such that each video frame is associated with a respective position value; determining, for each respective video frame, a residual motion value to obtain a sequence of residual motion values for the sequence of video frames; and performing DIS on the sequence of video frames, comprising: detecting an image feature in a reference video frame of the sequence of video frames; tracking the image feature in each further video frame of the sequence of video frames; determining frame motion data based on a displacement for the image feature in each further video frame in the sequence of video frames; and generating a stabilized sequence of video frames based on the frame motion data; wherein a size of a tracking window for tracking the image feature in each further video frame is set based on the sequence of residual motion values.

A computer-implemented method (1000) for tampering detection of a microphone device (100), the microphone device (100) comprising a microphone (110) arranged in a cavity (120) open to surroundings of the microphone device (110) via a microphone hole (122), the method (1000) comprising: receiving (1100) an audio signal (112) from the microphone (110); sampling (1200) the audio signal (112) for a low frequency band; detecting (1300) an event (140) comprising an exponentially decreasing absolute amplitude of the sampled audio signal (130) during a time period (P) of at least one second; and when detecting the event (140), outputting (1400) a tampering detection signal.

This disclosure relates to methods 400, software, devices and systems for video scrubbing that enables a client device to retrieve images for scrubbing based on a user-requested time along a video timeline of a video stored in a server. The client device checks S404 if a cached image meets specified conditions, including a timestamp within a precision margin around the requested time. The precision margin scales with the timeline length, providing a smaller margin for shorter timelines and a larger margin for longer timelines. If a relevant cached image is found, it is retrieved S416; if not, an image with a highest relevance score within the precision margin is fetched S418 from the server and stored in memory.

In an aspect there is provided a method for controlling an image stabilization, system of an image capturing device, wherein the IS system comprises an optical image stabilization, OIS, system compensating for vibrational movement of the image capturing device based on a motion signal output by a motion sensor of the image capturing device, and wherein the OIS system has at least a first control parameter with a value being adjustable to adapt a responsiveness of the OIS system to vibrational movement, the value being adjustable between a first value causing a lower responsiveness of the OIS system, and a second value causing a higher responsiveness of the OIS system; the method comprising, while the OIS system is in an active state and performs OIS; determining a signal-to-noise estimate for the motion signal; and determining the value of the first control parameter based on the signal-to-noise estimate, comprising setting the first control parameter to the first value responsive to determining that the signal-to-noise estimate is in a lower range, and to the second value responsive to determining that the signal-to-noise estimate is in an upper range.