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公开(公告)号:US20210150729A1
公开(公告)日:2021-05-20
申请号:US16641830
申请日:2019-08-01
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Huanhuan ZHANG , Tong LIU , Xiaojun TANG , Yifei ZHANG , Zhiguo ZHANG
Abstract: The present disclosure provides a line segment detection method, apparatus, device, and a computer-readable storage medium. Said method includes: extracting image features of an image to be processed, the image features including an image gradient angle and an image gradient amplitude; determining a plurality of seed points based on the extracted image features; for each seed point of the plurality of seed points, determining a current connected region of respective seed point according to a region growth rule, wherein the region growth rule needs to satisfy both a gradient amplitude growth rule and a gradient angle growth rule simultaneously; and performing line segment fitting on line segments within the current connected region of respective seed point.
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公开(公告)号:US20200226782A1
公开(公告)日:2020-07-16
申请号:US16641359
申请日:2019-05-17
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yue LI , Tong LIU , Jingtao XU , Kai ZHAO
Abstract: A positioning method, a positioning device, a positioning system, a storage medium, and a construction method for an offline map database. The positioning method includes: obtaining a current image information, and extracting a visual feature in the current image information; matching the visual feature in the current image information with a key frame in an offline map database, and determining a candidate key frame similar to the visual feature in the current image information, wherein the offline map database is generated based on a global grid map and a visual map; and determining a pose corresponding to the candidate key frame, and converting the pose to coordinate values.
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公开(公告)号:US20220164581A1
公开(公告)日:2022-05-26
申请号:US17511423
申请日:2021-10-26
Applicant: BOE Technology Group Co., Ltd.
Inventor: Tong LIU
Abstract: The present application provides a region management and control method, device, apparatus and storage medium. The region management and control method includes: obtaining a current image in a video image and a target region graphic included in the current image; determining whether a person graphic in the current image and the target region graphic meet a predetermined condition; and sending alarm information in response to the person graphic in the current image and the target region graphic meeting the predetermined condition. The predetermined condition includes at least one of: a space condition, a person identity condition, a time condition, a person protection condition, a person number condition or a person body temperature condition.
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公开(公告)号:US20220321834A1
公开(公告)日:2022-10-06
申请号:US17427476
申请日:2020-10-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Tong LIU , Hao CHEN , Bingchuan SHI , Hao FANG
IPC: H04N7/18
Abstract: The monitoring device of the disclosure includes a carrying unit; having at least one carrying area for carrying a monitored object, at least part of the carrying area is provided with a corresponding image capturing unit and a corresponding optical path adjusting unit; the image capturing unit captures a monitoring image of the carrying area, each image capturing unit has a preset field of view, each image capturing unit forms the monitoring image according to light incident from the field of view; at least part of the carrying area is an extension area, the extension area is positioned outside the field of view of the image capturing unit; the optical path adjusting unit enables the light emitted from the extension area of the carrying area corresponding thereto to enter the image capturing unit from the field of view of the image capturing unit corresponding to the carrying area.
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公开(公告)号:US20220114617A1
公开(公告)日:2022-04-14
申请号:US17554878
申请日:2021-12-17
Applicant: BOE Technology Group Co., Ltd.
Abstract: The present application relates to a shelf interaction method and a shelf. The shelf is provided with at least one image capturing device. The method includes: capturing an image of the shelf through the at least one image capturing device; in response to detecting that a first position on the shelf is changed from presence of a first item of goods to absence of the first item of goods according to the image, identifying a first category of the taken-away first item of goods; in response to that a second goods category associated with the first position is the same as or different from the first category of the taken-away first item of goods, sending first prompt information to indicate that the first item of goods is taken away.
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公开(公告)号:US20210406813A1
公开(公告)日:2021-12-30
申请号:US17209493
申请日:2021-03-23
Applicant: BOE Technology Group Co., Ltd.
Inventor: Tong LIU , Xiaojun TANG
Abstract: The present disclosure provides a method of determining a status of a position on a shelf, a shelf and a non-transitory computer-readable storage medium. The method includes: acquiring current detection data of the shelf in a current detection period; determining first status information of respective positions from the current detection data, in response to determining that the current detection data satisfies a preset condition; in response to the current detection data indicating that a target position whose first status information indicates the second status exists, acquiring first status information of the target position from previous detection data in a previous detection period; and determining second status information of the target position based on the first status information of the target position in the current detection data and the previous detection data respectively.
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7.
公开(公告)号:US20190303650A1
公开(公告)日:2019-10-03
申请号:US16114907
申请日:2018-08-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Tong LIU , Xiangyang LIU , Xiaojun TANG , Zhiguo ZHANG
Abstract: An automatic object recognition method and an automatic object recognition system, a shopping device and a non-transitory computer readable storage medium are disclosed. The automatic object recognition method includes: acquiring a first image and a second image, both the first image and the second image including a same object, and the second image being a depth image; extracting a feature point of the object based on the first image; obtaining a joint feature based on the feature point from the first image and depth information of the second image; and recognizing the object based on the joint feature.
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8.
公开(公告)号:US20240203097A1
公开(公告)日:2024-06-20
申请号:US18565030
申请日:2022-09-20
Applicant: BOE Technology Group Co., Ltd.
Inventor: Tong LIU , Zeyu SHANGGUAN
IPC: G06V10/764 , G06T7/11 , G06V10/44
CPC classification number: G06V10/764 , G06T7/11 , G06V10/44 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132
Abstract: Disclosed is a method for training an image processing model. The method includes acquiring a plurality of original image sets; cropping the plurality of original images in the plurality of original image sets to acquire a training sample set, wherein each of the training samples represents one original image, or a subimage acquired by cropping one original image; determining a plurality of positive sample pairs and a plurality of negative sample pairs from the training sample set, wherein each of the positive sample pairs comprises two training samples acquired based on different said original images in the same original image set, and each of the negative sample pairs comprises two training samples acquired based on the original images in different said original image sets; and training the image processing model based on the plurality of positive sample pairs and the plurality of negative sample pairs.
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公开(公告)号:US20240153240A1
公开(公告)日:2024-05-09
申请号:US18281685
申请日:2021-11-17
Applicant: BOE Technology Group Co., Ltd.
Inventor: Zeyu SHANGGUAN , Tong LIU , Guangwei HUANG , Fanhao KONG
IPC: G06V10/74 , G06T7/90 , G06V10/56 , G06V10/75 , G06V10/764 , G06V10/776
CPC classification number: G06V10/761 , G06T7/90 , G06V10/56 , G06V10/751 , G06V10/764 , G06V10/776 , G06T2207/10024 , G06T2207/20081
Abstract: The present disclosure provides an image processing method, an apparatus, a computing device, and a medium, which relates to deep learning technology. In the present disclosure, after acquiring the to-be-processed target image, the first similarities between the target image and the first images of categories are determined based on the first feature vector corresponding to the target image and the second feature vectors respectively corresponding to the plurality of first images. Moreover, based on the first color distribution information of the target region in the target image and the second color distribution information of the target regions in the plurality of first images, the second similarities between the target image and the plurality first images are determined, so that the image category to which the target image belongs can be determined jointly based on the first similarities and the second similarities.
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公开(公告)号:US20210360368A1
公开(公告)日:2021-11-18
申请号:US16488341
申请日:2019-01-02
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yue LI , Tong LIU , Jingtao XU
Abstract: The present disclosure discloses an indoor positioning method, an indoor positioning system, an indoor positioning apparatus and a computer readable medium. The indoor positioning method includes: determining an initial position of a target object using combination of wireless positioning and visual feature map matching positioning; and according to the initial position of the target object, performing real-time positioning on the target object using combination of short-time interframe feature matching positioning and the visual feature map matching positioning.
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