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公开(公告)号：US20240404290A1
公开(公告)日：2024-12-05
申请号：US18512904
申请日：2023-11-17
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Maksim Bolonkin
Abstract: Examples provide a video security system including an electronic processor configured to detect an anomaly by obtaining video data captured using an image sensor and determining a number of people detected in each of a plurality of frames of the video data. For each moment t, the electronic processor determines an average number of people n over a time interval (t−Δt1, t), where Δt1 is greater than or equal to the moment t. For each non-overlapping time interval Δt1, the electronic processor updates a histogram based on the average number of people for the time interval Δt1. In response to determining, using the histogram, that the probability ρ of the average number of people n over the time interval (t−Δt1, t) is less than a threshold probability ρ*, the electronic processor generates an alert indicating that an anomalous crowd size is detected.
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公开(公告)号：US20240404289A1
公开(公告)日：2024-12-05
申请号：US18325650
申请日：2023-05-30
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Maksim Bolonkin , Yang Liu , Sergey Veselkov
Abstract: Examples provide a video security system including an electronic processor configured to detect an anomaly by obtaining video data captured using an image sensor and determining a number of people detected in each of a plurality of frames of the video data. For each moment t, the electronic processor determines an average number of people n over a time interval (t-Δt1, t), where Δt1 is greater than or equal to the moment t. For each non-overlapping time interval Δt1, the electronic processor updates a histogram based on the average number of people for the time interval Δt1. In response to determining, using the histogram, that the probability ρ of the average number of people n over the time interval (t-Δt1, t) is less than a threshold probability ρ*, the electronic processor generates an alert indicating that an anomalous crowd size is detected.
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公开(公告)号：US12249151B2
公开(公告)日：2025-03-11
申请号：US18512904
申请日：2023-11-17
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Maksim Bolonkin
Abstract: Examples provide a video security system including an electronic processor configured to detect an anomaly by obtaining video data captured using an image sensor and determining a number of people detected in each of a plurality of frames of the video data. For each moment t, the electronic processor determines an average number of people n over a time interval (t−Δt1, t), where Δt1 is greater than or equal to the moment t. For each non-overlapping time interval Δt1, the electronic processor updates a histogram based on the average number of people for the time interval Δt1. In response to determining, using the histogram, that the probability ρ of the average number of people n over the time interval (t−Δt1, t) is less than a threshold probability ρ*, the electronic processor generates an alert indicating that an anomalous crowd size is detected.
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公开(公告)号：US20230360355A1
公开(公告)日：2023-11-09
申请号：US17662050
申请日：2022-05-04
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Peter L. Venetianer , Burak Kakillioglu , Aleksey Lipchin , Xiao Xiao
CPC classification number: G06V10/255 , G06V20/52 , G06T7/194 , G06V10/82
Abstract: One aspect provides a method for object detection including detecting, using an electronic processor, a plurality of candidate objects in a video using a convolutional neural network detection process and a background subtraction detection process and identifying, using the electronic processor, a candidate object from the plurality of candidate objects. The candidate object detected by the background subtraction detection process in a location of the video with no candidate objects detected by the convolutional neural network detection process. The method also includes determining, using the electronic processor, a background subtraction confidence level of the candidate object and categorizing, using the electronic processor, the candidate object as a detected object in the video in response to the background subtraction confidence level satisfying a background subtraction confidence threshold.
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公开(公告)号：US12254659B2
公开(公告)日：2025-03-18
申请号：US17662050
申请日：2022-05-04
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Peter L. Venetianer , Burak Kakillioglu , Aleksey Lipchin , Xiao Xiao
Abstract: One aspect provides a method for object detection including detecting, using an electronic processor, a plurality of candidate objects in a video using a convolutional neural network detection process and a background subtraction detection process and identifying, using the electronic processor, a candidate object from the plurality of candidate objects. The candidate object detected by the background subtraction detection process in a location of the video with no candidate objects detected by the convolutional neural network detection process. The method also includes determining, using the electronic processor, a background subtraction confidence level of the candidate object and categorizing, using the electronic processor, the candidate object as a detected object in the video in response to the background subtraction confidence level satisfying a background subtraction confidence threshold.
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Patent Agency Ranking
公开(公告)号：US20250046175A1
公开(公告)日：2025-02-06
申请号：US18363579
申请日：2023-08-01
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Maksim Bolonkin , Keshav T. Seshadri , Sergey Veselkov
Abstract: Examples provide an imaging system including an electronic processor configured to obtain video data of a scene including a region of interest including a plurality of frames, determine a total number of detected humans in the region of interest of a current frame of the plurality of frames, determine a number of running humans in the region of interest of the current frame, and determine a probability associated with the number of running humans in the region of interest of the current frame and the total number of detected humans in the region of interest of the current frame based on accumulated statistics for the region of interest. In response to determining that the probability is less than a threshold probability, the electronic processor generates an alert indicating a stampede is detected in the region of interest.
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7.发明授权公开(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
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.
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公开(公告)号：US11354994B1
公开(公告)日：2022-06-07
申请号：US17307473
申请日：2021-05-04
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： David Staudacher , Mauricio Leal Villarreal , Aleksey Lipchin , Peter L. Venetianer
IPC: G05B19/042 , G08B13/196 , G06V20/40
Abstract: One example electronic computing device includes electronic processor configured to store a list of a plurality of video cameras being considered for an upgrade. The electronic processor may be further configured to receive first video footage captured by a first video camera and second video footage captured by a second video camera. The electronic processor may be further configured to analyze the first video footage and the second video footage to generate a plurality of upgrade priority scores. In response to determining that a first upgrade priority score of the first video camera is greater than a second upgrade priority score of the second video camera, the electronic processor may be further configured to output an upgrade priority notification configured to inform a user that the first video camera has a higher upgrade priority than the second video camera.
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公开(公告)号：US11157734B1
公开(公告)日：2021-10-26
申请号：US17108852
申请日：2020-12-01
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Kaveh Malakuti , Pietro Russo , Ron Wilson
Abstract: One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.
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公开(公告)号：US20240394919A1
公开(公告)日：2024-11-28
申请号：US18322217
申请日：2023-05-23
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor： Aleksey Lipchin , Chia Ying Lee , Keshav T. Seshadri , Sergey Veselkov
Abstract: Systems and method for camera calibration. In one example, the camera includes an electronic processor configured to obtain a bounding box in a captured image, the bounding box bounding a person in the image and having a lowermost vertical coordinate and an uppermost vertical coordinate. The electronic processor determines an initial estimation of values of a set of camera parameters Θ and a current estimation of values of the set of camera parameters Θ based on the initial estimation. The electronic processor iteratively updates the current estimation of values of the set of camera parameters Θ by determining feet coordinates within the bounding box, determining a vertical head coordinate, and updating the current estimation of values of the set of camera parameters Θ by reducing a difference between the vertical head coordinate and the uppermost vertical coordinate of the bounding box.
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