Abstract: A method of configuring a camera comprising: collecting a video data with the camera, providing a plurality of imaging profiles, each imaging profile being associated with a set of scene characteristics, for each imaging profile, generating a spatial output data in dependence on the video data and the set of scene characteristics of the imaging profile, wherein the spatial output data is indicative of spatial locations of events detected in the video data matching one or more of the scene characteristics, performing a comparison of the spatial output data of each of the plurality of imaging profiles, selecting a preferred imaging profile in dependence on the comparison, configuring the camera to operate according to the preferred imaging profile.

Abstract: A first image is captured by the camera, using a first focus setting and a first aperture size. A first protrusion focus measure in a protrusion area of an object in the first image and a first recess focus measure in a recess area of the object in the first image are determined. A second image is captured by the camera, using the first focus setting and a second aperture size, and the object is detected. A second protrusion focus measure and a second recess focus measure are determined in the second image. A protrusion focus difference between the first and second protrusion focus measures, and a recess focus difference between the first and second recess focus measures are calculated. The protrusion focus difference and the recess focus difference are compared and if they differ by less than a predetermined threshold amount, it is determined that the object is fake.

Abstract: A method for stray light compensation is disclosed. The method comprising: acquiring a first image with a first imaging device covering a first field-of-view; acquiring a second image with a second imaging device covering a second field-of-view, wherein the second field-of-view is larger than the first field-of-view and wherein the first field-of-view is included in the second field-of-view; estimating stray light components in pixels of the first image from pixel data of pixels in the second image; and compensating for stray light in the first image by subtracting the estimated stray light components in pixels of the first image. Also, a system for stray light compensation is disclosed.

Abstract: A method of configuring a camera comprising: collecting a video data with the camera, providing a plurality of imaging profiles, each imaging profile being associated with a set of scene characteristics, for each imaging profile, generating a spatial output data in dependence on the video data and the set of scene characteristics of the imaging profile, wherein the spatial output data is indicative of spatial locations of events detected in the video data matching one or more of the scene characteristics, performing a comparison of the spatial output data of each of the plurality of imaging profiles, selecting a preferred imaging profile in dependence on the comparison, configuring the camera to operate according to the preferred imaging profile.

Abstract: Systems and methods are disclosed for inter-coding of a video. To inter-code a frame relative to a previous frame of the video, techniques disclosed include partitioning the frame and the previous frame into corresponding portions. Then, for each portion of the frame, a difference between the frame's portion and its corresponding portion in the previous frame is determined. A probability for suppressing the determined difference is further devised as a function of the difference. A decision whether to suppress the difference is then made based on the probability. If a decision to suppress has been made, the difference between the frame portion and the corresponding portion in the previous frame is suppressed before the frame portion is inter-encoded relative to the corresponding portion in the previous frame.

Abstract: A method for determining whether a video camera is out-of-focus comprises: capturing image data; setting a focus setting difference threshold based on a filter function configured to filter the image data; adjusting a focus setting between a present focus setting and an altered focus setting such that a first subset of the image data is captured with the video camera being set in the present focus setting and such that a second subset of the image data is captured with the video camera being set in the altered focus setting, wherein the adjusting is performed such that a difference between the present and altered focus settings is below the threshold; forming the video stream by applying the filter function on the image data; determining first and second focus metrics of the image data; and determining whether the video camera is out-of-focus by comparing the first and second focus metrics.

Abstract: A method for determining whether a video camera is out-of-focus comprises: capturing image data; setting a focus setting difference threshold based on a filter function configured to filter the image data; adjusting a focus setting between a present focus setting and an altered focus setting such that a first subset of the image data is captured with the video camera being set in the present focus setting and such that a second subset of the image data is captured with the video camera being set in the altered focus setting, wherein the adjusting is performed such that a difference between the present and altered focus settings is below the threshold; forming the video stream by applying the filter function on the image data; determining first and second focus metrics of the image data; and determining whether the video camera is out-of-focus by comparing the first and second focus metrics.

Abstract: A video processing pipeline comprises: a video frame partitioning module configured to divide video frames into frame portions; a change module configured to, for each frame portion of a second video frame, determine a difference between video data of the frame portion of the second video frame and video data of a corresponding frame portion of a first video frame; a probability module configured to determine a probability, that decreases with an increasing size of the difference, for individually suppressing each of the determined differences; a suppress module configured to decide whether to suppress each determined difference or not based on a respective determined probability, and to suppress the difference in case it is decided to suppress the difference; and an encode module configured to inter-encode the frame portions of the second video frame in relation to the first video frame.

Abstract: A method for determining a local contrast value for a digital image captured by an image sensor in a camera comprising: applying an edge detection algorithm to image data of the digital image, thereby obtaining a data set pertaining to edges in the digital image; calculating, based on said data set, an edge occurrence value for the digital image; estimating, based on image data of the digital image and a noise model of the image sensor, an estimated image sensor noise for the digital image; and computing the local contrast value as a relationship between the edge occurrence value of the digital image and the expected edge occurrence value for the digital image. A method for adjusting a focus setting of a camera using the local contrast value for images captured by the camera.

Abstract: A method for controlling a video camera which is configured to capture and process image frames prior to encoding. The method comprises determining whether the video camera is going to encode an image frame as an intra-frame or an inter-frame. If the image frame is going to be encoded as an inter-frame, the video camera is controlled to capture and process the image frame using first settings prior to encoding. If the image frame is going to be encoded as an intra-frame, the video camera is controlled to capture and process the image frame using second settings prior to encoding, wherein the second settings are modified in relation to the first settings to further reduce a level of noise in the image frame.

Abstract: A method of encoding a video stream comprising receiving a frame of a video stream to be encoded, performing motion detection in the frame to identify steady regions, and temporally filtering the frame so as to provide temporally filtered pixel values. For a pixel in the steady regions of the frame, the temporally filtered pixel value is used when encoding the pixel, on a condition that the pixel belongs to a block of pixels of the frame that will be intra-coded. On a condition that the pixel instead belongs to a block of pixels of the frame that will be inter-coded, a value that was used when encoding a corresponding pixel of the immediately preceding frame is used when encoding the pixel.

Abstract: A method for determining a local contrast value for a digital image captured by an image sensor in a camera comprising: applying an edge detection algorithm to image data of the digital image, thereby obtaining a data set pertaining to edges in the digital image; calculating, based on said data set, an edge occurrence value for the digital image; estimating, based on image data of the digital image and a noise model of the image sensor, an estimated image sensor noise for the digital image; and computing the local contrast value as a relationship between the edge occurrence value of the digital image and the expected edge occurrence value for the digital image. A method for adjusting a focus setting of a camera using the local contrast value for images captured by the camera.

Abstract: A method of encoding a video stream comprising receiving a frame of a video stream to be encoded, performing motion detection in the frame to identify steady regions, and temporally filtering the frame so as to provide temporally filtered pixel values. For a pixel in the steady regions of the frame, the temporally filtered pixel value is used when encoding the pixel, on a condition that the pixel belongs to a block of pixels of the frame that will be intra-coded. On a condition that the pixel instead belongs to a block of pixels of the frame that will be inter-coded, a value that was used when encoding a corresponding pixel of the immediately preceding frame is used when encoding the pixel.

Abstract: A method for controlling a video camera which is configured to capture and process image frames prior to encoding. The method comprises determining whether the video camera is going to encode an image frame as an intra-frame or an inter-frame. If the image frame is going to be encoded as an inter-frame, the video camera is controlled to capture and process the image frame using first settings prior to encoding. If the image frame is going to be encoded as an intra-frame, the video camera is controlled to capture and process the image frame using second settings prior to encoding, wherein the second settings are modified in relation to the first settings to further reduce a level of noise in the image frame.

Abstract: A device and method for determining exposure settings in a camera is disclosed. The method comprises capturing an image frame using an image sensor, the exposure of the capturing is based on an initial exposure value setting, determining a temporary exposure value by finding an exposure value that results in a substantially optimum value when applied to a total cost calculation, calculating a saturated pixels cost related to the saturated pixels for the captured image at the temporary exposure value, determining a next exposure value by finding a decrease in exposure value, in relation to the temporary exposure value, for which decrease a change in total cost for non-saturated pixels, in relation to the total cost for non-saturated pixels at the temporary exposure value, is substantially equal to the saturated pixel cost calculated at the temporary exposure value, using this determined next exposure value for capturing a new image frame.

Abstract: A device and method for determining exposure settings in a camera is disclosed. The method comprises capturing an image frame using an image sensor, the exposure of the capturing is based on an initial exposure value setting, determining a temporary exposure value by finding an exposure value that results in a substantially optimum value when applied to a total cost calculation, calculating a saturated pixels cost related to the saturated pixels for the captured image at the temporary exposure value, determining a next exposure value by finding a decrease in exposure value, in relation to the temporary exposure value, for which decrease a change in total cost for non-saturated pixels, in relation to the total cost for non-saturated pixels at the temporary exposure value, is substantially equal to the saturated pixel cost calculated at the temporary exposure value, using this determined next exposure value for capturing a new image frame.

Abstract: The present invention relates to a method for determining the extension of a trajectory in a space-time volume of measure images. The space-time volume of measure images is generated by a measuring method utilizing a measuring system comprising a first light source and a sensor. The measuring method comprises a step of, in a predetermined operating condition of the measuring system, moving a measure object along a first direction of movement in relation to the measuring system while the first light source illuminates the measure object whereby the sensor generates a measure image of the measure object at each time instant in a set of at least two subsequent time instants, thus generating said space-time volume of measure images wherein a feature point of the measure object maps to a trajectory in the space-time volume.

Abstract: The present invention relates to a method for determining the extension of a trajectory in a space-time volume of measure images. The space-time volume of measure images is generated by a measuring method utilizing a measuring system comprising a first light source and a sensor. The measuring method comprises a step of, in a predetermined operating condition of the measuring system, moving a measure object along a first direction of movement in relation to the measuring system while the first light source illuminates the measure object whereby the sensor generates a measure image of the measure object at each time instant in a set of at least two subsequent time instants, thus generating said space-time volume of measure images wherein a feature point of the measure object maps to a trajectory in the space-time volume.