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公开(公告)号:US20190188492A1
公开(公告)日:2019-06-20
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
CPC classification number: G06K9/00778 , G06K9/6215 , G08B13/19 , G08B13/19604 , G08B13/19608 , G08B13/19695 , H04N7/188 , H05B37/0227 , H05B37/0272 , Y02B20/44
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:US20210342619A1
公开(公告)日:2021-11-04
申请号:US17271608
申请日:2019-08-08
Applicant: OSRAM GmbH
Inventor: Alexander FALLER , Fabio GALASSO , Prasanth KUNCHEERATH RAMANKUTTY , Meltem Demirkus BRANDLMAIER
Abstract: A tracking system for tracking objects within a field of view is disclosed. The field of view may include a first zone and an adjacent zone of interest where at least two gates are associated with respective sides of the first zone within the field of view. The first camera is configured to detect when an object crosses one of the at least two gates and track the object throughout the first zone and the zone of interest. The tracking system is configured to generate a first event message in response to the object being tracked from one of the gates into the zone of interest and subsequently leaving the first zone through a dedicated gate of the at least two gates.
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公开(公告)号:US20220027664A1
公开(公告)日:2022-01-27
申请号:US17296560
申请日:2019-11-14
Applicant: OSRAM GmbH
Inventor: Sikandar AMIN , Bharti MUNJAL , Meltem Demirkus BRANDLMAIER , Abdul Rafey AFTAB , Fabio GALASSO
Abstract: A method for machine-based training of a computer-implemented network for common detecting, tracking, and classifying of at least one object in a video image sequence having a plurality of successive individual images. A combined error may be determined during the training, which error results from the errors of the determining of the class identification vector, determining of the at least one identification vector, the determining of the specific bounding box regression, and the determining of the inter-frame regression.
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