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    SYSTEM AND METHOD FOR CNN LAYER SHARING
    1.
    发明申请
    SYSTEM AND METHOD FOR CNN LAYER SHARING 审中-公开

    公开(公告)号：US20180157916A1

    公开(公告)日：2018-06-07

    申请号：US15832548

    申请日：2017-12-05

    Applicant: Avigilon Corporation

    Inventor： Moussa Doumbouya ,  Lu He ,  Mahesh Saptharishi

    IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08

    Abstract: Methods, systems, and techniques for sharing layers between convolutional neural networks (CNNs). A data processing system may include a first and a second CNN that share a first group of layers. The first CNN may include the first group of layers in series with a second group of layers and be configured such that data for the first CNN is input to the first group of layers. The second CNN may include the first group of layers in series with a third group of layers and be configured such that data for the second CNN is also input to the first group of layers.

    Method and system for classifying an object-of-interest using an artificial neural network
    5.
    发明授权
    Method and system for classifying an object-of-interest using an artificial neural network 有权

    公开(公告)号：US10599958B2

    公开(公告)日：2020-03-24

    申请号：US15842605

    申请日：2017-12-14

    Applicant: Avigilon Corporation

    Inventor： Lu He ,  Yin Wang ,  Aleksey Lipchin

    IPC: G06K9/62 ,  G06K9/00

    Abstract: Methods, systems, and techniques for classifying an object-of-interest using an artificial neural network, such as a convolutional neural network. An artificial neural network receives a sample image including the object-of-interest overlaying a background and a sample background image excluding the object-of-interest and corresponding to the background overlaid by the object-of-interest. The object-of-interest is classified using the artificial neural network. The artificial neural network classifies the object-of-interest using the sample background and sample images. Prior to receiving the sample background and sample images the artificial neural network has been trained to classify the object-of-interest using training image pairs. Each of at least some of the training image pairs includes a first training image that includes a training object-of-interest overlaying a training background and a training background image excluding the training object-of-interest and corresponding to the training background.

    METHOD AND SYSTEM FOR CLASSIFYING AN OBJECT-OF-INTEREST USING AN ARTIFICIAL NEURAL NETWORK
    7.
    发明申请
    METHOD AND SYSTEM FOR CLASSIFYING AN OBJECT-OF-INTEREST USING AN ARTIFICIAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20190188524A1

    公开(公告)日：2019-06-20

    申请号：US15842605

    申请日：2017-12-14

    Applicant: Avigilon Corporation

    Inventor： Lu He ,  Yin Wang ,  Aleksey Lipchin

    IPC: G06K9/62 ,  G06K9/00

    Abstract: Methods, systems, and techniques for classifying an object-of-interest using an artificial neural network, such as a convolutional neural network. An artificial neural network receives a sample image including the object-of-interest overlaying a background and a sample background image excluding the object-of-interest and corresponding to the background overlaid by the object-of-interest. The object-of-interest is classified using the artificial neural network. The artificial neural network classifies the object-of-interest using the sample background and sample images. Prior to receiving the sample background and sample images the artificial neural network has been trained to classify the object-of-interest using training image pairs. Each of at least some of the training image pairs includes a first training image that includes a training object-of-interest overlaying a training background and a training background image excluding the training object-of-interest and corresponding to the training background.

    SYSTEM AND METHOD FOR APPEARANCE SEARCH
    8.
    发明申请
    SYSTEM AND METHOD FOR APPEARANCE SEARCH 审中-公开

    公开(公告)号：US20180157939A1

    公开(公告)日：2018-06-07

    申请号：US15832654

    申请日：2017-12-05

    Applicant: Avigilon Corporation

    Inventor： Richard Butt ,  Alexander Chau ,  Moussa Doumbouya ,  Levi Glozman ,  Lu He ,  Aleksey Lipchin ,  Shaun P. Marlatt ,  Sreemanananth Sadanand ,  Mitul Saha ,  Mahesh Saptharishi ,  Yanyan Hu

    IPC: G06K9/66 ,  H04N21/44 ,  H04N21/466 ,  H04N21/4223 ,  G06T7/70 ,  G06K9/62 ,  G06N99/00

    Abstract: There is provided an appearance search system comprising one or more cameras configured to capture video of a scene, the video having images of objects. The system comprises one or more processors and memory comprising computer program code stored on the memory and configured when executed by the one or more processors to cause the one or more processors to perform a method. The method comprises identifying one or more of the objects within the images of the objects. The method further comprises implementing a learning machine configured to generate signatures of the identified objects and generate a signature of an object of interest. The system further comprises a network configured to send the images of the objects from the camera to the one or more processors. The method further comprises comparing the signatures of the identified objects with the signature of the object of interest to generate similarity scores for the identified objects, and transmitting an instruction for presenting on a display one or more of the images of the objects based on the similarity scores.

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