Cognimatics Ab

Winfoor Ab

Zi Decuma Ab

Decuma Ab

Uman Sense Ab

Rikard Berthilsson

Håkan Ardö

Karl Åström

Gunnar Sparr

Marcus Johansson

Siri Dovner

Jonna Hellstrom

Gerardo Pesliakas

Johan WASSÉLIUS

Kent Holmberg Persson

Björn Weddig

Jonna HELLSTRÖM

Petter Ericson

A method and arrangement for calibrating stereo cameras. A first image from a first camera is received, and a second image is received from a second camera, the first image and the second image comprise an overlap. One or more candidate points of the first image and of the second image are determined in the overlap. The candidate points of the first image are matched with the candidate points of the second image and pairs of corresponding candidate points are determined. A homography of the first camera is calculated based on the pairs of corresponding candidate points and a homography of the second camera is calculated based on the pairs of corresponding candidate points. The first camera and the second camera are calibrated by adjusting an intrinsic parameter or an extrinsic parameter of each respective camera, based on the calculated homography of each respective camera.

Method and arrangement for calibration of cameras

A blade () for a rotor of a wind turbine is provided. The blade () comprises: a truss-like three-dimensional structure having strut members () forming the truss-like structure, wherein a plurality of the strut members () in the truss-like structure have an airfoil-shaped cross-section.

Rotor blade for wind turbine

An apparatus being adapted to determine an occupancy in a designated area, said apparatus comprising a memory and a controller, said controller being configured to determine at least one passage time; wherein said passage time is a time for a detected passage into and/or out of said area based on said image stream, determine an average occupancy time, determine if a passage into said designated area is estimated to occupy the designated area by comparing the time for the passage with the average occupancy time, and determine an estimation of the present occupancy in the designated area to equal the number of such passages.

System and method for occupancy estimation

Triblade

A method for tracking objects in a scene being viewed by a sequence of digital images comprises: separating a region of interest in the digital images into a plurality of spatially smaller, overlapping modules, and defining a hidden Markov model for each module. The method further comprises observing detections of positions of possible objects at different times, considering a set of states at a point of time (t) such that the set of states comprises a state having a global optimum probability, and backtracking through the sequence of digital images for each hidden Markov model to shrink the set of states that are possible for earlier parts of the sequence of digital images, such that a single optimal state is found for an earlier point of time (t&#x3c;t), whereby tracks of detected objects through the scene are determined up to the earlier point of time (t).

Method for tracking objects in a scene

Character recognition includes detecting a union of characters, preprocessing the union of characters, comparing the preprocessed union of characters with one or more template symbols, and applying a decision rule to either reject a template symbol or decide that the template symbol is included in the union of characters. Such preprocessing involves representing the union of characters as one or more curves, and parameterizing the curve(s); and, regarding various classes of transformation, forming one or more shapes for the curve(s). The comparing operation involves forming one or more geometric proximity measures, and determining for every shape the values of those measures between the shape and correspondingly determined shapes for the template symbols. Applying a decision rule involves selecting one or more template symbols in consideration of the values.

Character recognition

A method of character recognition includes detecting a union of characters, preprocessing the union of characters, comparing the preprocessed union of characters with one or more template symbols, and applying a decision rule in order to either reject a template symbol or decide that the template symbol is included in the union of characters. Preprocessing the union of characters involves representing the union of characters as one or more curves, and parameterising said curve or curves, and regarding various classes of transformations forming one or more shapes for the curve or curves. The comparing operation involves forming one or more geometric proximity measures, and determining for every shape the values of said geometric proximity measures between said shape and correspondingly determined shapes for the template symbols. Finally, applying a decision rule involves selecting one or more template symbols in consideration of the values.

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Lund, Sweden

Rikard Berthilsson