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公开(公告)号：US11900679B2
公开(公告)日：2024-02-13
申请号：US17104329
申请日：2020-11-25
发明人： Jangwon Lee , Gang Qian , Allison Beach , Donald Gerard Madden
IPC分类号： G06V20/40 , G06V20/52 , G06F18/22 , G06V10/74 , G06V10/764 , G06V10/776 , G06V10/44
CPC分类号： G06V20/46 , G06F18/22 , G06V10/454 , G06V10/761 , G06V10/764 , G06V10/776 , G06V20/41 , G06V20/52 , G06V20/44
摘要： Methods and systems for image-based abnormal event detection are disclosed. An example method includes obtaining a sequential set of images captured by a camera; generating a set of observed features for each of the images; generating a set of predicted features based on a portion of the sets of observed features that excludes the set of observed features for a last image in the sequential set of images; determining that a difference between the set of predicted features and the set of observed features for the last image in the sequential set of images satisfies abnormal event criteria; and in response to determining that the difference between the set of predicted features and the set of observed features for the last image in the sequential set of images satisfies abnormal event criteria, classifying the set of sequential images as showing an abnormal event.
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公开(公告)号：US20230360430A1
公开(公告)日：2023-11-09
申请号：US18142627
申请日：2023-05-03
发明人： Gang Qian , Eric Rodney Carlson , Allison Beach
IPC分类号： G06V40/16 , G06V10/774 , G06V10/776 , G06V10/26 , G07C9/00
CPC分类号： G06V40/165 , G06V10/774 , G06V10/776 , G06V40/171 , G06V10/26 , G07C9/00563
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for object detection using positional prior filtering. One of the methods includes: obtaining, from a plurality of first images, person bounding boxes and face bounding boxes that each correspond to one of the person bounding boxes, each person bounding box identifying at least one portion of a respective image of the plurality of first images that likely represents a person; training a face location predictor to predict a location of a face in an image using the person bounding boxes and the face bounding boxes; training, using the face location predictor, an error model that determines a likelihood that an image depicts a face using output from the face location predictor; and storing, in memory, the trained error model, and the face location predictor for use by a device detecting faces depicted in an image.
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公开(公告)号：US20230196892A1
公开(公告)日：2023-06-22
申请号：US18108300
申请日：2023-02-10
IPC分类号： G08B13/196 , H04N7/18 , H04N23/68
CPC分类号： G08B13/19602 , G08B13/19626 , H04N7/181 , H04N23/681
摘要： Methods, systems, and apparatus for camera detection of human activity with co-occurrence are disclosed. A method includes detecting a person in an image captured by a camera; in response to detecting the person in the image, determining optical flow in portions of a first set of images; determining that particular portions of the first set of images satisfy optical flow criteria; in response to determining that the particular portions of the first set of images satisfy optical flow criteria, classifying the particular portions of the first set of images as indicative of human activity; receiving a second set of images captured by the camera after the first set of images; and determining that the second set of images likely shows human activity based on analyzing portions of the second set of images that correspond to the particular portions of the first set of images classified as indicative of human activity.
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公开(公告)号：US20230111865A1
公开(公告)日：2023-04-13
申请号：US17959713
申请日：2022-10-04
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for spatial motion attention for intelligent video analytics. One of the methods includes: obtaining an input image of a region; generating a motion image that characterizes a difference between a value of a pixel at the pixel location in the input image and a value of a pixel at the pixel location in the reference image; generating a feature map using the input image; generating, using the motion image and the feature map, a motion enhanced feature map that has, for one or more pixels that likely indicate movement, a first value that a) indicates that the corresponding pixel in the motion enhanced feature map likely indicates movement and b) is different from a second value for a corresponding pixel in the feature map; and analyzing the motion enhanced feature map.
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公开(公告)号：US20230054918A1
公开(公告)日：2023-02-23
申请号：US17980715
申请日：2022-11-04
发明人： Sima Taheri , Gang Qian , Sung Chun Lee , Sravanthi Bondugula , Allison Beach
摘要： Methods, systems, and apparatus for motion-based human video detection are disclosed. A method includes generating a representation of a difference between two frames of a video; providing, to an object detector, a particular frame of the two frames and the representation of the difference between two frames of the video; receiving an indication that the object detector detected an object in the particular frame; determining that detection of the object in the particular frame was a false positive detection; determining an amount of motion energy where the object was detected in the particular frame; and training the object detector based on penalization of the false positive detection in accordance with the amount of motion energy where the object was detected in the particular frame.
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公开(公告)号：US20220101066A1
公开(公告)日：2022-03-31
申请号：US17472800
申请日：2021-09-13
发明人： Sravanthi Bondugula , Gang Qian , Sung Chun Lee , Sima Taheri , Allison Beach
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reducing camera false detections. One of the methods includes providing, to a neural network of an image classifier that is trained to detect objects of two or more classification types, a feature vector for a respective training image; receiving, from the neural network, an output vector that indicates, for each of the two or more classification types, a likelihood that the respective training image depicts an object of the corresponding classification type; accessing, from two or more ground truth vectors each for one of the two or more classification types, a ground truth vector for the classification type of an object depicted in the training image; and adjusting one or more weights in the neural network using the output vector and the ground truth vector; and storing, in a memory, the image classifier.
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公开(公告)号：US11250271B1
公开(公告)日：2022-02-15
申请号：US16995379
申请日：2020-08-17
发明人： Ethan Shayne , Donald Gerard Madden , Gang Qian , Weihong Yin
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for finding lost objects. In some implementations, an unassociated object that appeared in a video from a property is identified. Known entities for the property are identified. A number of times that the known entities appeared in videos from the property is obtained. An order to display the known entities for the property based on a number of times that the known entities appeared in videos from the property are determined. An indication that the unassociated object is associated with a particular entity of the known entities is received. An image of the unassociated object from the video in association with the particular entity of the known entities is stored.
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公开(公告)号：US20210304574A1
公开(公告)日：2021-09-30
申请号：US17202528
申请日：2021-03-16
IPC分类号： G08B13/196 , H04N5/232 , H04N7/18
摘要： Methods, systems, and apparatus for camera detection of human activity with co-occurrence are disclosed. A method includes detecting a person in an image captured by a camera; in response to detecting the person in the image, determining optical flow in portions of a first set of images; determining that particular portions of the first set of images satisfy optical flow criteria; in response to determining that the particular portions of the first set of images satisfy optical flow criteria, classifying the particular portions of the first set of images as indicative of human activity; receiving a second set of images captured by the camera after the first set of images; and determining that the second set of images likely shows human activity based on analyzing portions of the second set of images that correspond to the particular portions of the first set of images classified as indicative of human activity.
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公开(公告)号：US11093756B1
公开(公告)日：2021-08-17
申请号：US16858979
申请日：2020-04-27
发明人： Jangwon Lee , Gang Qian , Allison Beach
IPC分类号： G06K9/00 , G06K9/46 , G06F16/583 , G08B13/196 , G06F16/532 , G06K9/62
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for multi-query object matching based on inverse model frequency. The methods, systems, and apparatus include actions of obtaining images of a sample object, obtaining models of known objects, determining an image score for each pair of the images and the models, determining an inverse model frequency for each image based on the image scores, determining a model score for each model based on the inverse model frequencies and the image scores, and selecting a particular known object of the known objects as the sample object based on the model scores.
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公开(公告)号：US10930005B1
公开(公告)日：2021-02-23
申请号：US16118516
申请日：2018-08-31
发明人： Gang Qian , Huiping Li , Yunxian Zhou Zhou , David Conger , Allison Beach
IPC分类号： G06T7/70 , G06T7/73 , G06F16/583 , G06F16/51 , G01S17/86 , G01C11/04 , G01C21/00 , G01S17/89 , G06K9/46 , G06K9/62
摘要： A method and apparatus for determining a building/urban profile image location includes extracting a building/urban profile from an obtained image and comparing the image to a database of building/urban profiles. The database may be created by obtaining point cloud data sets scanned building/urban profiles, converting the obtained point cloud data sets to a corresponding 3D surface model, and creating the database of stored building/urban profiles viewed from multiple locations within each of the 3D surface models. By comparing the extracted building/urban profile image with the stored building/urban profiles contained within the database and finding a match the location from which the extracted building/urban profile image was taken can be determined.
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