Axis Ab

Jimmie Jönsson

Johan Jeppsson Karlin

Björn Benderius

Ola Håkansson

Axel Thuresson

Niclas Svensson

Johan Jeppsson

Anton Öhrn

Sebastian Fors

Andreas Muhrbeck

Karin Dammer

Pontus Rosenberg

Ola X Håkansson

Karlin Johan Jeppsson

The present disclosure relates to a method performed by a deviation analyzing system () for black level drift assessment of a digital camera image sensor (). The deviation analyzing system measures () for pixels of an image captured by the image sensor, a respective luminance value and corresponding chromaticity value of each pixel. The deviation analyzing system further determines () a respective average chromaticity value for differing luminance levels of the measured luminance values, based on for each luminance level averaging the corresponding measured chromaticity values. Moreover, the deviation analyzing system determines (), when the respective average chromaticity values of a range () of luminance levels indicate&#x2014;to a predeterminable extent&#x2014;chromaticity deviations () from the respective average chromaticity values () of other luminance levels (), that a black level setting of the image sensor is drifted from a true black level. The disclosure also relates to a deviation analyzing system in accordance with the foregoing, a digital camera comprising such a deviation analyzing system, and a respective corresponding computer program product and non-volatile computer readable storage medium.

Black level drift

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.

Method of configuring a camera

The present disclosure relates to a method of motion segmentation () in a video stream. The method comprises the steps of: acquiring () a sequence of image frames; dividing () a first frame () into a plurality of image blocks (); comparing () each image block () against a corresponding reference image block () and providing a measure of dissimilarity; for image blocks having a measure of dissimilarity less than a threshold: discarding () the image blocks, and for image blocks having a measure of dissimilarity greater than the threshold: keeping () the image blocks and further dividing the image blocks into a new plurality of image blocks (); repeating the steps of dividing () and comparing () until a stop condition is met (); generating () a motion mask () indicating areas of movement ().

Method and system for motion segmentation

A method for assessing an ambient light level during video acquisition with a video camera is provided. The video camera is operably connected with an IR illuminator, and having a day mode in which an IR-cut filter is arranged in front of an image sensor and a night mode in which the IR-cut filter is not arranged in front of the image sensor. The method comprises:

Method for assessing ambient light during night mode image acquisition

A method and a digital video camera for reducing intensity variations in a video stream depicting a scene comprising capturing, using a first sensor setting, a first frame; detecting a change in intensity in a portion of the first frame, the portion represents a first area of the scene; determining a second sensor setting based on the first frame; capturing, using the second sensor setting, a second frame; creating a local tone mapping mask, wherein a local tone mapping in the first area of the scene is different from a local tone mapping in an area outside the first area, and wherein the local tone mapping in the area outside the first area is based on a relation between the first sensor setting and the second sensor setting; and applying the local tone mapping mask to the second frame.

Method for reducing intensity variations in a video image stream depicting a scene

A near-infrared sensitive video camera comprises a control unit configured to: dynamically detect a setting of the camera, the setting being one or more of: a zoom level, a focus setting and a setting of an IR-illuminator of camera. The control unit dynamically acquires a gain setting map for an image sensor, the acquired gain setting map being associated with the dynamically detected setting of the camera and comprising individual gain settings of the image sensor. Dynamically acquiring the gain setting map comprises accessing a database of gain setting maps associated with specific settings of the camera and on the dynamically detected setting of the camera; and dynamically adjusting a gain setting of the image sensor based on the acquired gain setting map.

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Lund, Sweden

Jimmie Jönsson