Abstract:
An image signal indicative of the head pose of a person in a scene, as provided by a camera may be processed by estimating, as a function of the image signal received by the image sensor, the head pose of the person. A view frustum of the person may be generated from the estimated head pose. A visual frustum of attention or VFOA of the person may be generated from the view frustum. From the visual frustum, a predicted movement trajectory of the person or an estimated scene attention map as a function of the visual frustum of attention, preferably by identifying in the attention map at least one object to be controlled may be generated.
Abstract:
A training method for object recognition, the training method comprising: providing at least one top-view training image; aligning a training object present in the training image along a pre-set direction; labelling at least one training object from the at least one training image using a pre-defined labelling scheme; extracting at least one feature vector for describing the content of the at least one labelled training object and at least one feature vector for describing at least one background scene; and training a classifier model based on the extracted feature vectors.
Abstract:
An image signal indicative of the head pose of a person in a scene, as provided by a camera may be processed by estimating, as a function of the image signal received by the image sensor, the head pose of the person. A view frustum of the person may be generated from the estimated head pose. A visual frustum of attention or VFOA of the person may be generated from the view frustum. From the visual frustum, a predicted movement trajectory of the person or an estimated scene attention map as a function of the visual frustum of attention, preferably by identifying in the attention map at least one object to be controlled may be generated.
Abstract:
A method for image processing is provided. The method includes acquiring at least one object in a recorded image, determining an orientation of the at least one acquired object, and classifying at least one acquired object, the orientation of which was determined, by comparison with a reference. The orientation is determined by calculating at least one moment of inertia of the acquired object.
Abstract:
A lighting system including a set of lighting devices for lighting an environment that may be controlled by a method. The method may include receiving, from one or more image sensors (e.g. a RGB-D camera—W), an image signal including a sequence of images of the environment under different conditions of illumination and light reflection. The method may further include processing the image signal to provide a light source identification signal representative of light sources affecting the environment, and controlling the lighting devices as a function of the light source identification signal, and, possibly, of human occupancy and activity.
Abstract:
A method for surface reconstruction may include illuminating at least one object simultaneously by light emitted by a plurality of luminaires spaced apart from another. The method may further include recording a photographic sequence comprising a plurality of individual images of the object(s). The method may further include reconstructing at least one visible object surface of the object by photometric stereo analysis.
Abstract:
A method for recognizing the presence of at least one person in a specified spatial region by way of at least one camera is provided. The method may include recording a sequence of images of the spatial region by way of the at least one camera, performing a person recognition on the basis of at least one image of the image sequence, and then classifying or remaining classified a person object recognized by way of the person recognition as a real person if it is possible to assign to the person object a movement that has been recognized by an image evaluation of a plurality of images of the image sequence.
Abstract:
In an embodiment a passive matrix LED display module includes n>1 first electrical lines connected to a respective first switch, m>1 second electrical lines connected to a respective second switch and at least m·n LED light sources, wherein each of the LED light sources is connected on an anode side to a first line and on a cathode side to a second line, wherein each of the first switches is a push-pull switch having a first terminal for connection to an LED supply voltage, a second terminal for connection to an adjustable discharge potential, a third terminal for receiving a switching signal and a fourth terminal for connection to an associated first line, wherein each of the second switches in a switched state is configured to allow current to flow to a reference potential, and wherein the second terminals of the push-pull switches are connected in common to an output voltage terminal of an adjustable voltage source.
Abstract:
In an embodiment a passive matrix LED display module includes n>1 first electrical lines connected to a respective first switch, m>1 second electrical lines connected to a respective second switch and at least m·n LED light sources, wherein each of the LED light sources is connected on an anode side to a first line and on a cathode side to a second line, wherein each of the first switches is a push-pull switch having a first terminal for connection to an LED supply voltage, a second terminal for connection to an adjustable discharge potential, a third terminal for receiving a switching signal and a fourth terminal for connection to an associated first line, wherein each of the second switches in a switched state is configured to allow current to flow to a reference potential, and wherein the second terminals of the push-pull switches are connected in common to an output voltage terminal of an adjustable voltage source.
Abstract:
The present disclosure relates to various embodiments of an optical component for a LIDAR Sensor System. The optical component may include an optical element having a first main surface and a second main surface opposite to the first main surface, a first lens array formed on the first main surface, and/or a second lens array formed on the second main surface. The optical element has a curved shape in a first direction of the LIDAR Sensor System.