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公开(公告)号：US11982783B2
公开(公告)日：2024-05-14
申请号：US16959718
申请日：2018-01-05
Applicant: NOKTA MUHENDISLIK A.S.
Inventor： Mehmet Onlek , Basri Kutlu Yavas
CPC classification number: G01V3/10 , G01B21/16 , G01C19/00 , G01P15/08 , G01V3/165 , G06F18/22 , G06F18/251 , G06V2201/07
Abstract: Metal detectors are disclosed herein containing integrated positional tracking unit (20) containing the sensors and processors which provide the detection of the real-time positions of the search head (11) on the ground during metal target (1) searching process, by optical flow technique as (X, Y) points on an image frame at X, Y coordinate plane, following the verification and if required, correction of the parameters of height from the ground, horizontal and axial motions, angular position, focus distance, light quantity and quality; image processing/display unit (30), a shaft mount display and/or a screen, generating the image of the target (1) metal by matching the metal data received from the detector signal processing system (12), thereby from the search head (11) and the location and position data received from the integrated positional tracking unit (20), on a position/image matrix and presenting such image to the user visually.
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公开(公告)号：US20240153303A1
公开(公告)日：2024-05-09
申请号：US17981985
申请日：2022-11-07
Applicant: ADOBE INC.
Inventor： Ali AMINIAN , Aashish Kumar MISRAA , Kshitiz GARG , Aseem AGARWALA
IPC: G06V40/16 , G06T7/20 , G06V10/30 , G06V10/762 , G06V20/40
CPC classification number: G06V40/161 , G06T7/20 , G06V10/30 , G06V10/762 , G06V20/49 , G06V40/171 , G06T2207/30201 , G06V2201/07
Abstract: Some aspects of the technology described herein perform identity identification on faces in a video. Object tracking is performed on detected faces in frames of a video to generate tracklets. Each tracklet comprises a sequence of consecutive frames in which each frame includes a detected face for a person. The tracklets are clustered using face feature vectors for detected faces of each tracklet to generate a plurality of clusters. Information is stored in an identity datastore, including a first identifier for a first identity in association with an indication of frames from tracklets in a first cluster from the plurality of clusters.
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573.发明公开公开(公告)号：US20240153276A1
公开(公告)日：2024-05-09
申请号：US18278546
申请日：2021-03-30
Applicant: NEC Corporation
Inventor： Kei YANAGISAWA , Tetsuro HASEGAWA , Kosei KOBAYASHI , Hiroaki AMINAKA , Kazuki OGATA
CPC classification number: G06V20/54 , G06T7/20 , G06V20/625 , G06T2207/30201 , G06T2207/30252 , G06V2201/07
Abstract: An information processing apparatus (10) includes: determination means (11) for determining a range for providing notification of information regarding a specific object on the basis of a moving direction of the specific object detected on the basis of an image, a position where the image has been captured, and an elapsed time since the image has been captured; and transmission means (12) for transmitting the information regarding the specific object to a device corresponding to the range determined by the determination means.
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公开(公告)号：US20240153230A1
公开(公告)日：2024-05-09
申请号：US18500768
申请日：2023-11-02
Applicant: Brown University
Inventor： Kaiyu ZHENG , Stefanie TELLEX
CPC classification number: G06V10/25 , B25J9/1697 , G06T7/70 , G06T15/06 , G06V2201/07
Abstract: A method includes, in an automated machine equipped with one or more camera-based object detectors, receiving human-provided information or information inferred from point cloud observations regarding target locations, maintaining information states regarding the target locations through a probability distribution structured as an octree, initializing the information states based on point cloud observations, updating the information states based on object detection observations or point cloud observations, determining a search region occupancy through constructing an octree-based occupancy grid based on point cloud observations, and using ray-tracing to determine visibility at three dimensional locations within the search region.
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公开(公告)号：US20240153196A1
公开(公告)日：2024-05-09
申请号：US18218527
申请日：2023-07-05
Applicant: NVIDIA Corporation
Inventor： Valts Blukis , Taeyeop Lee , Jonathan Tremblay , Bowen Wen , Dieter Fox , Stanley Thomas Birchfield
CPC classification number: G06T15/06 , G06T1/20 , G06T7/70 , G06T7/90 , G06V10/82 , H04N13/117 , G06T2207/10024 , G06V2201/07
Abstract: Apparatuses, systems, and techniques to generate an image of one or more objects. In at least one embodiment, an image of one or more objects is generated using a neural network based on, for example, a representation of a scene.
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Patent Agency Ranking
公开(公告)号：US20240153127A1
公开(公告)日：2024-05-09
申请号：US18387806
申请日：2023-11-07
Applicant: HEXAGON GEOSYSTEMS SERVICES AG
Inventor： Ralph HARTI , Matthias WIESER , Lukas HEINZLE , Roman STEFFEN , Burkhard BÖCKEM , Axel MURGUET , Garance BRUNEAU , Pascal STRUPLER
IPC: G06T7/70 , G01S17/894 , G06T7/20 , G06T17/00 , G06V20/20
CPC classification number: G06T7/70 , G01S17/894 , G06T7/20 , G06T17/00 , G06V20/20 , G06T2207/30244 , G06V2201/07
Abstract: A pose tracking system for continuously determining a pose of a digital video camera while filming a scene at a set of a film or TV production, wherein the system comprises a pose tracking device that comprises 2D cameras configured to provide 2D image data of an environment and at least one time-of-flight camera comprising a sensor array and one or more laser emitters, wherein the pose tracking device is attached to or configured to be attached to the digital video camera so that the ToF camera is oriented to capture 3D point-cloud data of the scene filmed by the digital video camera, wherein the pose tracking device comprises a localization unit.
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公开(公告)号：US20240153106A1
公开(公告)日：2024-05-09
申请号：US18549399
申请日：2022-03-07
Applicant: HITACHI ASTEMO, LTD.
Inventor： So SASATANI , Goshi SASAKI , Trongmun JIRALERSPONG
CPC classification number: G06T7/246 , G06V10/25 , G06T2207/20076 , G06T2207/30241 , G06T2207/30252 , G06V2201/07
Abstract: An object of the present invention is to generate a highly accurate trail by correcting detection box information of an object in an object tracking apparatus that generates a trail of an object within a measurement range. According to the present invention, there is provided an object tracking apparatus (100) that generates a trail of an object within a measurement range of a camera (2), the object tracking apparatus (100) including: an object detecting unit (4) that detects an object for each of a plurality of frames acquired by a sensor; a detection box reliability calculating unit (8) that calculates a reliability of a detection box based on flow information between frames of the detection box in which the object has been detected; a detection box position correcting unit (9) that corrects detection box information of a low-reliability detection box, using detection box information of a high-reliability detection box; and a trail generating unit (10) that generates a trail of an object, using the corrected detection box information.
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578.发明公开公开(公告)号：US20240153041A1
公开(公告)日：2024-05-09
申请号：US18417916
申请日：2024-01-19
Inventor： Keke HE , Junwei ZHU , Wenqing CHU , Ying TAI , Chengjie WANG
IPC: G06T5/50 , G06T3/4053 , G06V10/25
CPC classification number: G06T5/50 , G06T3/4053 , G06V10/25 , G06T2207/20221 , G06V2201/07
Abstract: This application discloses a method for generating an image processing model performed by a computer device. The method includes: performing training by using a first source image sample, a first template image sample, and a first standard synthesized image, to obtain a first parameter adjustment model, and combining the first parameter adjustment model and a first resolution update layer into a first update model; adjusting the first update model into a second parameter adjustment model using a second source image sample and a second template image sample and a second standard synthesized image; combining the second parameter adjustment model and a second resolution update layer into a second update model; and adjusting the second update model into a target image fusion model using a third source image sample, a third template image sample and a third standard synthesized image.
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公开(公告)号：US11978295B2
公开(公告)日：2024-05-07
申请号：US17683634
申请日：2022-03-01
Applicant: NEC Corporation
Inventor： Taketo Kochi , Kenji Saito
CPC classification number: G07C9/37 , G06V10/22 , G06V20/52 , G06V40/165 , G06V40/166 , G06V40/171 , G06V40/172 , G07C9/10 , G06V2201/07
Abstract: A collation system of the present invention includes imaging means for acquiring a captured image of a pre-passage side area with respect to each of gates arranged in parallel with each other, and collation means for performing a collation process on the captured image of the pre-passage side area for each of the gates, between a previously registered target and a target included in the captured image. The collation means performs the collation process on the basis of a target in the captured image corresponding to one of the gates and a target in the captured image corresponding to another one of the gates.
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580.发明公开公开(公告)号：US20240144635A1
公开(公告)日：2024-05-02
申请号：US17974495
申请日：2022-10-26
Applicant: Mindtrace.ai USA, Inc.
Inventor： Camilo Jose Vargas Cortes , Can Elbirlik
IPC: G06V10/26 , G06V10/774
CPC classification number: G06V10/267 , G06V10/7753 , G06N20/20 , G06V2201/07
Abstract: A method for operating a computing system on at least one processor includes performing search space reduction on input data using a first trained artificial intelligence model to generate relevant regions in the input data. The method also includes generating region proposals in the relevant regions using a second trained artificial intelligence model. The method further includes performing unsupervised anomaly classification on the region proposals using a third trained artificial intelligence model to classify each of the region proposals as normal or as an anomaly. The method further includes performing contextual filtering on the region proposals classified as anomalies to determine if any of the region proposals classified as anomalies are contextually normal using a fourth trained artificial intelligence model.
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