Abstract: A system for tracking movable objects in a scene comprising a first overview unit arranged to capture a first overview of a first portion of a scene, and a second overview unit arranged to capture a second overview of a second portion of a scene, wherein the first portion and the second portion may be partly overlapping. The system further comprises a PTZ-camera to image selected objects in the first or second portion of the scene. The first and the second overview unit are configured to detect and locate moving objects in the scene, and to transmit positional data of said moving objects to a control unit that determines if two or more movable objects may be imaged using a single view of the PTZ-camera, and to send instructions to the PTZ-camera to image said two or more movable objects concurrently.

Abstract: A method may include modulating a property of a laser with a reference signal to generate a transmit signal, and diverging the transmit signal to illuminate a field of illumination with the transmit signal, wherein the field of illumination includes an object. The method may include receiving, at a sensor, a signal reflected from the field of illumination and the object and comparing a phase of the received signal to a phase the reference signal. The method may include calculating a distance to the object based on the comparing.

Abstract: A method and an alert discriminator for converting alerts in a video monitoring operation. The method comprises: triggering a candidate alert, in response to detecting, in a stream of thermal images of a scene, a stationary foreground object in the scene; evaluating an intensity of the detected stationary foreground object in relation to a background intensity; and in response to the intensity of the detected stationary foreground object being above the background intensity, converting the candidate alert to an actual alert.

Abstract: There is provided a method for blending a first image and a second image having overlapping fields of view. The first and the second images are blended in a blending region. A width of the blending region is selected based on similarity between a first set of camera parameters used when capturing the first image and a second set of camera parameters used when capturing the second image such that the width decreases with increasing similarity.

Abstract: A method, computer program, apparatus, and system for authentication of devices in a network of devices, and more specifically to a challenge-response authentication in which one trusted device presents a question (“challenge”) and another party must provide a valid answer (“response”) to be authenticated. The challenge includes processing data by an application specific integrated circuit (ASIC).

Abstract: A method encodes a sequence of image frames depicting an object whose privacy is to be protected. A first and a second version of the sequence of image frames is generated. Image frames of the first version, but not the second version, of the sequence are provided with a privacy mask to protect the privacy of the object depicted therein. The first version of the sequence is encoded as a first encoded sequence of intra-coded image frames and inter-coded image frames. A second version of the sequence is encoded as a second encoded sequence of inter-coded image frames. The inter-coded image frames of the second encoded sequence are encoded by using the intra-coded image frames of the first encoded sequence. The inter-coded image frames of the second encoded sequence are encrypted, and thereafter the first and the second encoded sequence are merged into a single output sequence.

Abstract: A method of determining adjustment of an image pipeline setting comprises determining, by a controller, one or more settings for image data processing in the image pipeline; associating the one or more settings with a tag; transmitting the one or more settings to the image pipeline, wherein the tag is transmitted in association with the one or more settings; transmitting, from the image pipeline to the controller, feedback regarding image data processed with the one or more settings, wherein the tag is transmitted in association with the feedback; and determining, based on the received feedback and the one or more settings associated with the tag, an adjustment of the image pipeline setting.

Abstract: A method and apparatus for storing video data includes three or more cameras and a storage space. The storage space is partitioned into an initial set of allotted portions for storing video data captured by the video cameras. A video quality value is set for encoding video by each camera, and it is periodically determined whether maintaining the video quality value would cause the camera to exceed the allotted portion of storage space. If it is determined that the amount of video data for a camera exceeds its allotment of space, the video quality is reduced. If it is determined that the video quality from a camera falls below a quality threshold, the storage space is re-partitioned into which increased storage space is allotted to the camera having a video quality that falls below the threshold value, and decreased storage space is allotted to at least one other camera.

Abstract: A method for carrying out a health check of at least two cameras comprising the steps of initiating a health check process and checking, in response to the initiating step, for motion events stored in a database storing motion events, for each of the two cameras. If the checking for motion events indicates that a motion event has been stored in the database for one of the at least two cameras, then the method further comprises the steps of selecting a motion event found when checking for motion events stored in the database and retrieving a video clip corresponding to the selected motion event, captured by the one of the at least two cameras. The method further comprises the step of displaying the retrieved video clip together with a corresponding camera identification for evaluation.

Abstract: A method of encoding a video sequence by an encoder supporting context-based adaptive binary arithmetic coding, CABAC is disclosed. The method comprises determining, by a rate controller, a compression parameter of the encoder based on a load parameter value, indicating a current actual load of the coding block, received from the coding block.

Abstract: The present invention relates to a method for adding a graphical object to image data of one or more image frames comprising a first image frame, the graphical object being added during encoding of the one or more image frames using an encoder, wherein the image data generator is converting the graphical object into a first set of discrete frequency transform, DFT, blocks each DFT block being associated with a position in the one or more image frames to which the DFT block corresponds. The encoder is performing DFT on a plurality of block of pixels of the first image frame, to output a second set of DFT blocks and then replacing a subset of DFT blocks of the second set of DFT blocks with the first set of DFT blocks according to the positions associated with the first set of DFT blocks.

Abstract: A camera comprising: a sensor holder, an image sensor mounted on the sensor holder, a mount holder, and a lens mount being adapted to receive a lens array and being mounted to the mount holder, wherein the sensor holder is attached to the mount holder, wherein a gap having an extension along an optical axis of the camera is formed between the sensor holder and the lens mount, and wherein the sensor holder is provided with a thermally conducting protrusion bridging the gap and being in contact with the lens mount at an interface allowing relative motion between the lens mount and the thermally conducting protrusion along the optical axis while maintaining contact between the lens mount and the thermally conducting protrusion.

Abstract: A method and system for action recognition in a video sequence is disclosed. The system comprises a camera configured to capture the video sequence and a server configured to perform action recognition. The camera comprises an object identifier that identifies an object of interest in an object image frame of the video sequence; an action candidate recognizer configured to apply a first action recognition algorithm to the object image frame to detect presence of an action candidate; an video extractor configured to produce action image frames of an action video sequence by extracting video data pertaining to a plurality of image frames from the video sequence; and a network interface configured to transfer the action video sequence to the server. The server comprises an action verifier configured to apply a second action recognition algorithm to the action video sequence to verify or reject that the action candidate is an action.

Abstract: A camera assembly with a camera dome, a camera housing, has a plurality of camera heads arranged inside the housing and the dome. Each camera head is arranged in a camera support which is movable around a center of the camera assembly and each camera support has a first, inner, follower portion configured to engage a first, inner, guide portion of the camera housing. Furthermore, each camera support has a second, outer, follower portion configured to engage a second, outer, guide portion of the camera housing. The camera support also comprises a camera head fixture connecting the first follower portion with the second follower portion. Each follower portion is arranged to slide in the corresponding guide portion.

Abstract: There is provided a method, a device (104), and a system (100) for enhancing changes in an image (103a) of an image sequence (103) captured by a thermal camera (102). An image (103a) which is part of the image sequence (103) is received (S02) and pixels (408) in the image that have changed in relation to another image (103b) in the sequence are identified (S04). Based on the intensity values of the identified pixels, a function (212, 212a, 212b, 212c, 212d, 212e) which is used to redistribute intensity values of changed as well as non-changed pixels in the image is determined (S06). The function has a maximum (601) for a first intensity value (602) in a range (514) of the intensity values of the identified pixels, and decays with increasing distance from the first intensity value.