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公开(公告)号：US11468598B2
公开(公告)日：2022-10-11
申请号：US17080866
申请日：2020-10-27
发明人： Zhong Zhang
摘要： A method may include obtaining real-time image data relating to at least one scene acquired by a camera and identifying a plurality of real-time first features relating to a plurality of subjects from the real-time image data. The method may include determining one or more first estimated values corresponding to the plurality of real-time first features, the first estimated values being represented by a first coordinate system. The method may further include obtaining one or more first reference values corresponding to the plurality of real-time first features, the first reference values being represented by a second coordinate system, each of the first estimated values corresponding to one of the first reference values. The method may further include determining one or more real-time target parameters of the camera based on the first estimated values and the first reference values.
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公开(公告)号：US11607124B2
公开(公告)日：2023-03-21
申请号：US16662733
申请日：2019-10-24
发明人： Zhong Zhang
摘要： A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: obtaining a head image of a user with one or more dimension indicators, determining an eye region in the head image of the user and determining a pupillary distance of the user based on the one or more dimension indicators and the determined eye region. A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: receiving a request at a user terminal, recording a video of a user wearing a wearable device with the user terminal, determining a pupillary distance of the user based on the video and synchronously displaying the pupillary distance on the video of the user during recording. The wearable device may include one or more dimension indicators.
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公开(公告)号：US11594030B2
公开(公告)日：2023-02-28
申请号：US17080876
申请日：2020-10-27
发明人： Zhong Zhang
IPC分类号： G06V20/40 , G06T7/70 , G08G1/017 , G08G1/0962 , G06V20/58
摘要： A system and method for determining a traffic sign violation are provided. The method may include obtaining a traffic rule corresponding to the traffic sign. The method may further include acquiring, by at least one camera, video data associated with a scene around a traffic sign. The video data may include a series of frames. The method may further include identifying the vehicle in the series of frames and determining whether the vehicle violates the traffic rule based on the series of frames. In response to the determination that the vehicle violates the traffic rule, the method may further include obtaining information of the vehicle and transmitting the information of the vehicle to a server.
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公开(公告)号：US12008794B2
公开(公告)日：2024-06-11
申请号：US17239536
申请日：2021-04-23
发明人： Zhong Zhang
IPC分类号： G06T7/292 , G06F18/214 , G06K9/00 , G06K9/62 , G06N3/08 , G06T7/246 , G06T7/80 , G06V10/20 , G06V20/10 , G06V20/52
CPC分类号： G06V10/255 , G06F18/214 , G06N3/08 , G06T7/246 , G06T7/292 , G06T7/80 , G06V20/10 , G06V20/52
摘要： A method may include obtaining a video collected by a visual sensor, the video including a plurality of frames and detecting one or more objects from the video in at least a portion of the plurality of frames. The method may also include determining a first detection result associated with the one or more objects with a trained self-learning model. The method may further include selecting a target moving object of interest from the one or more objects at least in part based on the first detection result. The trained self-learning model may be provided based on a plurality of training samples collected by the visual sensor.
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公开(公告)号：US11842542B2
公开(公告)日：2023-12-12
申请号：US17039737
申请日：2020-09-30
发明人： Zhong Zhang
摘要： A method for detecting abnormal scene may include obtaining data relating to a video scene, identify at least two motion objects in the video scene based on the data and determining a first motion feature relating to the at least two motion objects based on the data. The method may also include determining a second motion feature relating to at least one portion of each of the at least two motion objects based on the data. The method may further include determining whether the at least two motion objects are involved in a fight based on the first motion feature and the second motion feature.
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公开(公告)号：US20210042350A1
公开(公告)日：2021-02-11
申请号：US17080868
申请日：2020-10-27
发明人： Zhong ZHANG
IPC分类号： G06F16/58 , G06F16/583 , G06F16/903 , G06T7/73
摘要： The present disclosure relates to systems and methods for retrieving image data. The systems may obtain a search request from a user device, the search request including at least one keyword. The systems may identify, in an image database, one or more target image archives associated with one or more target tags, respectively. The systems may retrieve, from the image database, the one or more target image archives, each of the one or more target image archives including a plurality of target images. The systems may transmit the one or more target image archives to the user device to be displayed via a user interface of the user device.
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公开(公告)号：US20210241468A1
公开(公告)日：2021-08-05
申请号：US17239536
申请日：2021-04-23
发明人： Zhong ZHANG
摘要： A method may include obtaining a video collected by a visual sensor, the video including a plurality of frames and detecting one or more objects from the video in at least a portion of the plurality of frames. The method may also include determining a first detection result associated with the one or more objects with a trained self-learning model. The method may further include selecting a target moving object of interest from the one or more objects at least in part based on the first detection result. The trained self-learning model may be provided based on a plurality of training samples collected by the visual sensor.
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公开(公告)号：US20210029328A1
公开(公告)日：2021-01-28
申请号：US17037729
申请日：2020-09-30
发明人： Zhong ZHANG
摘要： A method for traffic surveillance may include acquiring, from a plurality of first video sensors, a first set of images of an area, and generating a map-based surveillance interface of the area based on the first set of image data. The method may also include presenting, on a display, the map-based surveillance interface; wherein each of the plurality of first video sensors is implemented on an illuminating devices in the area, and the first set of image data denotes a plurality of views of the area captured by the plurality of first video sensors, respectively.
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公开(公告)号：US20210019506A1
公开(公告)日：2021-01-21
申请号：US17039791
申请日：2020-09-30
发明人： Zhong ZHANG
摘要： A system for motion detection may include at least one storage medium that includes a set of instructions, and at least one processor in communication with the at least one storage medium. When executing the set of instructions, the at least one processor may be configured to cause the system to obtain data related to a video scene of a space from at least one video camera; detect an object in the video scene; classify the object as a human object or a non-human object; when the object is classified as a human object, track movements of the human object; and determine a posture of the human object in the video scene based on the movements of the human object.
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公开(公告)号：US11783635B2
公开(公告)日：2023-10-10
申请号：US17039791
申请日：2020-09-30
发明人： Zhong Zhang
CPC分类号： G06V40/23 , G06T7/80 , G06V20/53 , G06V40/103
摘要： A system for motion detection may include at least one storage medium that includes a set of instructions, and at least one processor in communication with the at least one storage medium. When executing the set of instructions, the at least one processor may be configured to cause the system to obtain data related to a video scene of a space from at least one video camera; detect an object in the video scene; classify the object as a human object or a non-human object; when the object is classified as a human object, track movements of the human object; and determine a posture of the human object in the video scene based on the movements of the human object.
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