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    Camera system for traffic enforcement
    111.
    发明授权
    Camera system for traffic enforcement 有权

    公开(公告)号：US10289823B2

    公开(公告)日：2019-05-14

    申请号：US15637368

    申请日：2017-06-29

    Applicant: NEC Laboratories America, Inc. ,  NEC Hong Kong Limited

    Inventor： Manmohan Chandraker ,  Xiang Yu ,  Eric Lau ,  Elsa Wong

    IPC: G06K9/00 ,  G06F21/32 ,  G06N20/00 ,  G06N99/00 ,  G07C9/00 ,  H04L29/06 ,  G06F21/62 ,  G06K9/46 ,  G06K9/66

    Abstract: A traffic enforcement system and corresponding method are provided. The traffic enforcement system includes a camera configured to capture an input image of one or more subjects in a motor vehicle. The traffic enforcement system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task on one or more subjects in a motor vehicle depicted in the input image. The traffic enforcement system also includes a processor configured to apply the deep learning model to the input image to recognize an identity the one or more subjects in the motor vehicle and a liveness of the one or more subjects. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

    LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION
    114.
    发明申请
    LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION 审中-公开

    公开(公告)号：US20190095704A1

    公开(公告)日：2019-03-28

    申请号：US16145257

    申请日：2018-09-28

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xiang Yu ,  Xi Yin ,  Kihyuk Sohn ,  Manmohan Chandraker

    IPC: G06K9/00 ,  G06N3/08

    Abstract: A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.

    GENERATING OCCLUSION-AWARE BIRD EYE VIEW REPRESENTATIONS OF COMPLEX ROAD SCENES
    115.
    发明申请
    GENERATING OCCLUSION-AWARE BIRD EYE VIEW REPRESENTATIONS OF COMPLEX ROAD SCENES 审中-公开

    公开(公告)号：US20190094875A1

    公开(公告)日：2019-03-28

    申请号：US16146202

    申请日：2018-09-28

    Applicant: NEC Laboratories America, Inc.

    Inventor： Samuel Schulter ,  Paul Vernaza ,  Manmohan Chandraker ,  Menghua Zhai

    IPC: G05D1/02 ,  G05D1/00 ,  G06T17/05 ,  G06T7/514 ,  G06T7/194

    Abstract: Systems and methods for generating an occlusion-aware bird's eye view map of a road scene include identifying foreground objects and background objects in an input image to extract foreground features and background features corresponding to the foreground objects and the background objects, respectively. The foreground objects are masked from the input image with a mask. Occluded objects and depths of the occluded objects are inferred by predicting semantic features and depths in masked areas of the masked image according to contextual information related to the background features visible in the masked image. The foreground objects and the background objects are mapped to a three-dimensional space according to locations of each of the foreground objects, the background objects and occluded objects using the inferred depths. A bird's eye view is generated from the three-dimensional space and displayed with a display device.

    VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION
    116.
    发明申请
    VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION 审中-公开

    公开(公告)号：US20190066493A1

    公开(公告)日：2019-02-28

    申请号：US16051924

    申请日：2018-08-01

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kihyuk Sohn ,  Luan Tran ,  Xiang Yu ,  Manmohan Chandraker

    IPC: G08G1/017 ,  G06K9/62 ,  G06K9/00 ,  G06T17/00 ,  G06N3/08 ,  G06N3/04 ,  G06N5/04 ,  G06N99/00

    Abstract: Systems and methods for performing domain adaptation include collecting a labeled source image having a view of an object. Viewpoints of the object in the source image are synthesized to generate view augmented source images. Photometrics of each of the viewpoints of the object are adjusted to generate lighting and view augmented source images. Features are extracted from each of the lighting and view augmented source images with a first feature extractor and from captured images captured by an image capture device with a second feature extractor. The extracted features are classified using domain adaptation with domain adversarial learning between extracted features of the captured images and extracted features of the lighting and view augmented source images. Labeled target images are displayed corresponding to each of the captured images including labels corresponding to classifications of the extracted features of the captured images.

    Aerial Drone Utilizing Pose Estimation
    118.
    发明申请
    Aerial Drone Utilizing Pose Estimation 审中-公开

    公开(公告)号：US20190064851A1

    公开(公告)日：2019-02-28

    申请号：US16100479

    申请日：2018-08-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Quoc-Huy Tran ,  Manmohan Chandraker ,  Hyo Jin Kim

    IPC: G05D1/08 ,  G06T7/73 ,  G05D1/00 ,  G08G5/04 ,  B64C39/02

    Abstract: A computer-implemented method, system, and computer program product are provided for a stabilization system utilizing pose estimation in an aerial drone. The method includes receiving, by a pose estimation system, a plurality of images from one or more cameras. The method also includes predicting, by the pose estimation system, a pose from the score map and a combined feature map, the combined feature map correlated from a pair of the plurality of images. The method additionally includes moving, by a propulsion system, the aerial drone responsive to the pose.

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