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公开(公告)号：US10902268B2
公开(公告)日：2021-01-26
申请号：US16325619
申请日：2017-08-11
Applicant: OSRAM GMBH
Inventor： Herbert Kaestle , Fabio Galasso , Ling Wang , Michael Eschey , Meltem Demirkus Brandlmaier
IPC: G06K9/00 , G08B13/196 , G08B13/19 , H05B47/19 , H05B47/105 , G06K9/62 , H04N7/18
Abstract: The presence of a stationary object is to be reliably recognized. Thereto, a presence detection device for detecting a presence of an object in its environment is provided, which comprises a movement detection unit for detecting an initial movement of the object in the environment of the presence detection device and for outputting a movement signal depending on the detection as well as a control unit for generating an activation signal depending on the movement signal. Moreover, the presence detection device comprises a camera, which can be activated by the activation signal, for obtaining a video signal of the environment of the presence detection device and an evaluation unit for generating a presence signal relating to the presence of the object by evaluating the video signal.
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公开(公告)号：US20190130215A1
公开(公告)日：2019-05-02
申请号：US16094503
申请日：2017-03-23
Applicant: OSRAM GmbH
Inventor： Herbert Kaestle , Meltem Demirkus Brandlmaier , Michael Eschey , Fabio Galasso , Ling Wang
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.
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公开(公告)号：US20190180597A1
公开(公告)日：2019-06-13
申请号：US16214167
申请日：2018-12-10
Applicant: OSRAM GmbH
Inventor： Ling Wang , Herbert Kaestle , Fabio Galasso , Yi Li
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.
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