OBJECT COUNT USING MONOCULAR THREE-DIMENSIONAL (3D) PERCEPTION

    公开(公告)号:US20240281990A1

    公开(公告)日:2024-08-22

    申请号:US18172972

    申请日:2023-02-22

    CPC classification number: G06T7/55 G06T2207/10028 G06T2207/30242

    Abstract: Systems and techniques are provided for performing an accurate object count using monocular three-dimensional (3D) perception. In some examples, a computing device can generate a reference depth map based on a reference frame depicting a volume of interest. The computing device can generate a current depth map based on a current frame depicting the volume of interest and one or more objects. The computing device can compare the current depth map to the reference depth map to determine a respective change in depth for each of the one or more objects. The computing device can further compare the respective change in depth for each object to a threshold. The computing device can determine whether each object is located within the volume of interest based on comparing the respective change in depth for each object to the threshold.

    SEMANTIC REFINEMENT OF IMAGE REGIONS

    公开(公告)号:US20220189029A1

    公开(公告)日:2022-06-16

    申请号:US17124401

    申请日:2020-12-16

    Abstract: Examples are described of segmenting an image into image regions based on depicted categories of objects, and for refining the image regions semantically. For example, a system can determine that a first image region in an image depicts a first category of object. The system can generate a color distance map of the first image region that maps color distance values to each pixel in the first image region. A color distance value quantifies a difference between a color value of a pixel in the first image region and a color value of a sample pixel in a second image region in the image. The system can process the image based on a refined variant of the first image region that is refined based on the color distance map, for instance by removing pixels from the first image region whose color distances fall below a color distance threshold.

    SUPPRESSING DUPLICATED BOUNDING BOXES FROM OBJECT DETECTION IN A VIDEO ANALYTICS SYSTEM

    公开(公告)号:US20190130189A1

    公开(公告)日:2019-05-02

    申请号:US16160970

    申请日:2018-10-15

    Abstract: Techniques and systems are provided for tracking objects in one or more video frames. For example, based on an application of an object detector to at least one key frame in the one or more video frames, a first set of bounding regions for a video frame can be obtained. A group of bounding regions can be determined from the first set of bounding regions. A bounding region from the group of bounding regoins can be removed based on one or more metrics associated with the bounding region. Object tracking for the video frame can be performed using an updated set of bounding regions that is based on removal of the bounding region from the group of bounding regions.

    METHOD FOR IMAGE-BASED STATUS DETERMINATION
    6.
    发明申请
    METHOD FOR IMAGE-BASED STATUS DETERMINATION 有权
    基于图像的状态确定方法

    公开(公告)号:US20140321698A1

    公开(公告)日:2014-10-30

    申请号:US13874180

    申请日:2013-04-30

    CPC classification number: G06K9/00624 G06T7/20 G06T7/80

    Abstract: Methods, systems, computer-readable media, and apparatuses for image-based status determination are presented. In some embodiments, a method includes capturing at least one image of a moving path. At least one feature within the at least one image is analyzed and based on the analysis of the at least one feature, a direction of movement of the moving path is determined. In some embodiments, a method includes capturing an image of an inclined path. At least one feature within the image is analyzed and based on analysis of the at least one feature, a determination is made whether the image was captured from a top position relative to the inclined path or a bottom position relative to the inclined path.

    Abstract translation: 提出了用于基于图像的状态确定的方法,系统,计算机可读介质和装置。 在一些实施例中,一种方法包括捕获移动路径的至少一个图像。 分析至少一个图像内的至少一个特征,并且基于至少一个特征的分析,确定移动路径的移动方向。 在一些实施例中,一种方法包括捕获倾斜路径的图像。 分析图像内的至少一个特征,并且基于对至少一个特征的分析,确定图像是从相对于倾斜路径的顶部位置或相对于倾斜路径的底部位置被捕获的。

    Coordinated Multi-viewpoint Image Capture With A Robotic Vehicle

    公开(公告)号:US20220006962A1

    公开(公告)日:2022-01-06

    申请号:US16920299

    申请日:2020-07-02

    Abstract: Various embodiments may include methods and systems for performing synchronous multi-viewpoint photography using robotic vehicle devices. Various embodiments may include transmitting a first maneuver instruction directing a responding robotic vehicle to a position for capturing an image suitable for multi-viewpoint photography, determining whether the responding robotic vehicle is suitably positioned and oriented for capturing such an image, transmitting a second maneuver instruction to adjust the responding robotic vehicle's location and/or orientation in response to determining that the responding robotic vehicle is not suitably positioned and oriented, transmitting an image capture instruction causing the responding robotic vehicle to capture an image in response to determining that the responding robotic vehicle is suitably positioned and oriented for synchronous multi-viewpoint photography, capturing an image by the initiating robotic vehicle, receiving the image from the responding robotic vehicle, and generating an image file based on the captured and received images.

    TECHNOLOGIES FOR TRANSFERRING VISUAL ATTRIBUTES TO IMAGES

    公开(公告)号:US20210019541A1

    公开(公告)日:2021-01-21

    申请号:US16516134

    申请日:2019-07-18

    Abstract: Systems, methods, and computer-readable media are provided media for transferring visual attributes to images. In some examples, a system can obtain a first image associated with a user; generate a second image including image data from the first image modified to add a first visual attribute transferred from one or more images or remove a second visual attribute in the image data; compare a first set of features from the first image with a second set of features from the second image; determine, based on a comparison result, whether the first image and the second image match at least partially; and update a library of user verification images to include the second image when the first image and the second image match at least partially.

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