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    VISION SENSOR, IMAGE PROCESSING DEVICE INCLUDING THE SAME, AND OPERATING METHOD OF THE VISION SENSOR
    14.
    发明公开
    VISION SENSOR, IMAGE PROCESSING DEVICE INCLUDING THE SAME, AND OPERATING METHOD OF THE VISION SENSOR 审中-公开

    公开(公告)号：US20230217123A1

    公开(公告)日：2023-07-06

    申请号：US18120251

    申请日：2023-03-10

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jongseok SEO ,  Junhyuk Park ,  Hyunku Lee

    IPC: H04N25/47 ,  H04N23/80

    CPC classification number: H04N25/47 ,  H04N23/80

    Abstract: Provided is a vision sensor including a pixel array including a plurality of pixels disposed in a matrix form, an event detection circuit configured to detect whether an event has occurred in the plurality of pixels and generate event signals corresponding to pixels from among the plurality of pixels in which an event has occurred, a map data processor configured to generate a timestamp map based on the event signals, and an interface circuit configured to transmit vision sensor data including at least one of the event signals and the timestamp map to an external processor, wherein the timestamp map includes timestamp information indicating polarity information, address information, and an event occurrence time of a pixel included in an event signal corresponding to the pixel.

    VISION SENSORS, IMAGE PROCESSING DEVICES INCLUDING THE VISION SENSORS, AND OPERATING METHODS OF THE VISION SENSORS
    16.
    发明申请
    VISION SENSORS, IMAGE PROCESSING DEVICES INCLUDING THE VISION SENSORS, AND OPERATING METHODS OF THE VISION SENSORS 有权

    公开(公告)号：US20230085974A1

    公开(公告)日：2023-03-23

    申请号：US18059469

    申请日：2022-11-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jongseok Seo ,  Hyunku Lee ,  Heejae Jung

    IPC: G06V10/22 ,  G06T5/00 ,  G06K9/62 ,  G06T7/70 ,  H04N5/232 ,  G06T7/20 ,  G06V10/25 ,  G06V10/147

    Abstract: A vision sensor includes a pixel array comprising pixels arranged in a matrix, an event detection circuit, an event rate controller, and an interface circuit. Each pixel is configured to generate an electrical signal in response to detecting a change in incident light intensity. The event detection circuit detects whether a change in incident light intensity has occurred at any pixels, based on processing electrical signals received from one or more pixels, and generates one or more event signals corresponding to one or more pixels at which a change in intensity of incident light is determined to have occurred. The event rate controller selects a selection of one or more event signals corresponding to a region of interest on the pixel array as one or more output event signals. The interface circuit communicates with an external processor to transmit the one or more output event signals to the external processor.

    Convolutional neural network for object detection
    17.
    发明授权
    Convolutional neural network for object detection 有权

    公开(公告)号：US11100352B2

    公开(公告)日：2021-08-24

    申请号：US16576278

    申请日：2019-09-19

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hyunku Lee ,  Hyunsurk Ryu ,  Ha Young Kim ,  BaRom Kang

    IPC: G06K9/32 ,  G06F17/15 ,  G06N3/08 ,  G06T7/70

    Abstract: Disclosed is a computer-readable medium including a program code that, when executed by processing circuitry, causes the processing circuitry to generate a feature map from an input image, to extract a region of interest from the feature map, and to generate a predicted mask based on the region of interest. The processing circuitry may use a predicted mask and a real mask to learn a convolutional neural network system. The real mask includes first pixels corresponding to the real boundary and second pixels corresponding to a fake boundary adjacent to the real boundary.

    OBJECT DETECTION METHOD AND SYSTEM
    19.
    发明申请
    OBJECT DETECTION METHOD AND SYSTEM 审中-公开

    公开(公告)号：US20190065885A1

    公开(公告)日：2019-02-28

    申请号：US16113409

    申请日：2018-08-27

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jia Li ,  Feng Shi ,  Weiheng Liu ,  Dongqing Zou ,  Qiang Wang ,  Hyunsurk Ryu ,  Keun Joo Park ,  Hyunku Lee

    IPC: G06K9/46 ,  G06T7/246 ,  G06K9/00 ,  H04N7/18

    Abstract: An object detection method and a neural network system for object detection are disclosed. The object detection method acquires a current frame of a sequence of frames representing an image sequence, and extracts a feature map of the current frame. The extracted feature map is pooled with information of a pooled feature map of a previous frame to thereby obtain a pooled feature map of the current frame. An object is detected from the pooled feature map of the current frame. A dynamic vision sensor (DVS) may be utilized to provide the sequence of frames. Improved object detection accuracy may be realized, particularly when object movement speed is slow.

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