IMAGE PROCESSING APPARATUS, TRACKING METHOD, AND PROGRAM

    公开(公告)号:US20180350102A1

    公开(公告)日:2018-12-06

    申请号:US15984653

    申请日:2018-05-21

    Inventor: Takuya OGAWA

    Abstract: A technique of tracking objects with high accuracy even in an environment where the objects largely overlap with each other is provided. An image processing apparatus includes a detecting unit configured to detect an object region from an input image, an estimating unit configured to estimate a number of objects included in the detected object region, and a tracking unit configured to track objects included in the object region using the estimated number of objects.

    INFORMATION PROCESSING APPARATUS, CONTROL METHOD, AND PROGRAM

    公开(公告)号:US20230410524A1

    公开(公告)日:2023-12-21

    申请号:US18242249

    申请日:2023-09-05

    Inventor: Takuya OGAWA

    CPC classification number: G06V20/53 G06V20/40 G06V40/20

    Abstract: An information processing apparatus of the present invention detects a queue (20) of objects from video data (12). Further, the information processing apparatus of the present invention generates element information using a video frame (14) in which the queue (20) of objects is detected. The element information is information in which an object area (24) in the video frame (14) occupied by the object (22) included in the queue (20) of objects is associated with an attribute of the object (22). Furthermore, the information processing apparatus of the present invention detects a change in the queue (20) of objects based on the element information and the detection result of the object to video frame (14) generated after the video frame (14) in which the element information is generated. Then, the information processing apparatus of the present invention generates element information for the queue (20) of objects in which a change is detected to update the element information used later.

    LEARNING DEVICE, OBJECT DETECTION DEVICE, LEARNING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20220414918A1

    公开(公告)日:2022-12-29

    申请号:US17618550

    申请日:2019-06-25

    Abstract: A learning device makes an object detection device learn how to detect an object from an input image. A feature extraction unit performs feature extraction from input images including real images and pseudo images to generate feature maps, and the object detection unit detects objects included in the input images based on the feature maps. The domain identification unit identifies the domains forming the input images and generates domain identifiability information. Then, the feature extraction unit and the object detection unit learn common features that do not depend on the difference in domains, based on the domain identifiability information.

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