公开(公告)号：US12038972B2

公开(公告)日：2024-07-16

申请号：US17453654

申请日：2021-11-05

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Yin Wang ,  Euan Brodie ,  Lukasz Osuch

IPC: G06F16/783 ,  G06F16/732 ,  G06F16/75 ,  G06F16/78 ,  G06V20/52 ,  G08B13/196

CPC classification number: G06F16/7837 ,  G06F16/732 ,  G06F16/75 ,  G06F16/7867 ,  G06V20/52 ,  G08B13/19645

Abstract: A method and system for profiling a reference image and an object-of-interest therewithin is disclosed. The method includes storing semantic metadata that provides semantic information about environments for respective areas covered by respective Fields Of View (FOVs) of video cameras. The method also includes comparing the semantic metadata to additional metadata corresponding to at least one of an object accessory and a non-permanent object facet to identify a subset of the video cameras, less than an entire video camera universe, that meet a similarity score condition.

公开(公告)号：US11625859B2

公开(公告)日：2023-04-11

申请号：US16935464

申请日：2020-07-22

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Chia Ying Lee ,  Yin Wang ,  Aleksey Lipchin

IPC: G06T7/80 ,  G01B11/25 ,  G01B11/02 ,  G06T7/521

Abstract: A computer-implemented method of localizing an image of a person captured using a camera is provided, the person in the field of view of a camera, comprising: obtaining the image captured using a camera, the image comprising the person within a bounding box; determining at least one slant value associated with the person within the bounding box; determining head image coordinates and feet image coordinates for the person using the at least one slant value; and localizing the person by projecting the head image coordinates to a head plane and the feet image coordinates for the person to a ground plane.

公开(公告)号：US11164438B2

公开(公告)日：2021-11-02

申请号：US16837781

申请日：2020-04-01

Applicant: Motorola Solutions, Inc.

Inventor： Dung-Han Lee ,  Yanyan Hu ,  Qifan Liang ,  Kangyan Liu ,  Yin Wang ,  Weijuan Wu ,  Chia Ying Lee

IPC: G08B21/18 ,  G06N5/04 ,  G06N20/00 ,  G06Q50/26

Abstract: Methods for detecting anomalies in a geographic area include receiving, from an electronic computing device, expected relationship data indicating expected relationships between a plurality of entities within the geographic area; detecting the plurality of entities within the geographic area; generating observed relationship data indicating observed relationships between the plurality of entities; identifying the expected relationships between the plurality of entities based on the expected relationship data; determining that a given observed relationship between two entities of the plurality of entities is likely to represent an anomaly based on the expected relationship data; and providing an electronic notification to a safety officer, the electronic notification indicating that the given observed relationship is likely to represent the anomaly.