METHOD FOR COUNTING REGIONAL POPULATION, COMPUTER DEVICE AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220335644A1

    公开(公告)日:2022-10-20

    申请号:US17416590

    申请日:2020-09-29

    Inventor: Yu GU Jinglin YANG

    Abstract: Disclosed are a method for counting regional population, a computer device and a computer readable storage medium. The method for counting regional population includes: acquiring an image to be analyzed in a target region; detecting a position of each first human body part in the image to be analyzed; determining, according to the position of each first human body part in the image to be analyzed and a first transformation relation, a physical position of each first human body part in the target region; and determining the population in each sub-region according to a relative positional relation between the position of the first human body part in the image to be analyzed and the sub-image, as well as a relative positional relation between the physical position of the first human body part and the sub-region.

    MULTI-TARGET PEDESTRIAN TRACKING METHOD, MULTI-TARGET PEDESTRIAN TRACKING APPARATUS AND MULTI-TARGET PEDESTRIAN TRACKING DEVICE

    公开(公告)号:US20220004747A1

    公开(公告)日:2022-01-06

    申请号:US17280821

    申请日:2020-07-28

    Inventor: Jinglin YANG

    Abstract: A multi-target pedestrian tracking method, a multi-target pedestrian tracking apparatus and a multi-target pedestrian tracking device are provided, related to the field of image processing technologies. The multi-target pedestrian tracking method includes: detecting a plurality of candidate pedestrian detection boxes in a current frame of image to be detected, where a temporary tracking identification and a tracking counter are set for each of the plurality of candidate pedestrian detection boxes; and determining whether each of the plurality of candidate pedestrian detection boxes matches an existing tracking box, updating a value of the tracking counter according to a determination result, and continuing to detect a next frame of image to be detected. When the value of the tracking counter reaches a first preset threshold, the updating the value of the tracking counter is stopped, and the temporary tracking identification is converted to a confirmed tracking identification.

    METHOD AND DEVICE FOR ENHANCING IMAGE CONTRAST, DISPLAY APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20200043148A1

    公开(公告)日:2020-02-06

    申请号:US16450122

    申请日:2019-06-24

    Inventor: Jinglin YANG

    Abstract: The present disclosure provides a method for enhancing image contrast, including: dividing an input image into a plurality of input sub-images, each of the plurality of input sub-images corresponding to a gray value distribution range, the gray value distribution ranges of the respective input sub-images being different from each other, and each input sub-image comprising all pixels, among pixels of the input image, whose gray values are within the gray value distribution range of the input sub-image; performing an equalization processing on each of the plurality of input sub-images, and obtaining a plurality of output sub-images corresponding to the plurality of input sub-images, respectively, based on a result of the equalization processing; and merging the plurality of output sub-images to obtain an output image corresponding to the input image. The present disclosure further provides a device for enhancing image contrast, a display apparatus, and a computer-readable storage medium.

    OBJECT IDENTIFICATION AND TRACKING METHOD AND APPARATUS

    公开(公告)号:US20230029495A1

    公开(公告)日:2023-02-02

    申请号:US17789397

    申请日:2021-08-16

    Inventor: Jinglin YANG

    Abstract: The present disclosure provides an object identification and tracking method and an object identification and tracking apparatus. The object identification and tracking method includes: detecting M first objects in a target image; obtaining N second objects in tracking data in first video data, a matching weight of each second object with each first object varying with a time interval between a current image where the second object is located and the target image; matching the M first objects with the N second objects, so as to determine a correspondence between each first object and each second object; and tracking the first object in accordance with a matching result of the M first objects and the N second objects.

    IMAGE DETECTION METHOD, IMAGE DETECTION APPARATUS, IMAGE DETECTION DEVICE, AND MEDIUM

    公开(公告)号:US20220398761A1

    公开(公告)日:2022-12-15

    申请号:US16966611

    申请日:2019-06-27

    Inventor: Jinglin YANG

    Abstract: The invention discloses an image detection method, apparatus, device and a medium. The method includes: determining one or more edge points in an input image and gradient directions thereof; generating an initial matrix with the same size as the input image, and assigning the same initial value to all matrix elements in the initial matrix; for each pixel point located in an accumulation region of each edge point, assigning a corresponding accumulation value to a matrix element in the initial matrix corresponding to the pixel point, to obtain an accumulation matrix; determining one or more circle-center positions in the input image based on the accumulation matrix; wherein, the accumulation region of each edge point includes a first direction line for accumulation along the gradient direction of the edge point and a second direction line for accumulation along the direction opposite to the gradient direction of the edge point.

    TARGET DETECTION METHOD, COMPUTER DEVICE AND NON-TRANSITORY READABLE STORAGE MEDIUM

    公开(公告)号:US20220351413A1

    公开(公告)日:2022-11-03

    申请号:US17765366

    申请日:2021-04-09

    Inventor: Jinglin YANG

    Abstract: A target detection method includes: determining detection points corresponding to regions in an image to be detected and a probability value of a target in a region corresponding to each detection point according to the image to be detected; screening out a first detection point having a maximum probability value, and second detection point(s) having probability value(s) less than the probability value of the first detection point and greater than or equal to a probability threshold; if a first distance between each second detection point and the first detection point is greater than or equal to a distance threshold, updating an original probability value of the second detection point to obtain an updated probability value; comparing the updated probability value with the probability threshold to obtain a comparison result; and determining whether a new target in a region corresponding to the second detection point according to the comparison result.

    IMAGE PROCESSING METHOD AND DEVICE
    7.
    发明申请

    公开(公告)号:US20190073552A1

    公开(公告)日:2019-03-07

    申请号:US15915954

    申请日:2018-03-08

    Inventor: Jinglin YANG

    CPC classification number: G06K9/3208 G06K9/6204 G06K9/6857

    Abstract: The present disclosure discloses an image processing method and device. The image processing method includes: dividing a detection image into a plurality of first subregions, dividing a template image into a plurality of second subregions, calculating a principal rotation direction of each first subregion with respect to the corresponding second subregion; and calculating a principal rotation direction of the detection image according to the principal rotation directions of the plurality of first subregions.

    IMAGE DETECTION METHOD, SYSTEM AND NON-VOLATILE COMPUTER READABLE MEDIUM

    公开(公告)号:US20190065891A1

    公开(公告)日:2019-02-28

    申请号:US15941941

    申请日:2018-03-30

    Abstract: Embodiments of the present disclosure disclose an image detection method including: establishing a data model based on mark point information of a group of first strip-like line segments, the mark point information of each first strip-like line segment including the length, the width, the direction and the coordinate of the center point of the first strip-like line segment, establishing a priori model based on the distribution and the number of a group of second strip-like line segments which constitute a target structure, establishing a probability density function for the data model and the priori model, and performing sampling and solution optimization to obtain a globally optimal solution, and detecting the image taking the globally optimal solution as a target model. The embodiments of the present disclosure also disclose an image detection system and a non-volatile computer readable medium.

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