COMPACT MODELS FOR OBJECT RECOGNITION
    81.
    发明申请

    公开(公告)号:US20190220653A1

    公开(公告)日:2019-07-18

    申请号:US15869342

    申请日:2018-01-12

    Abstract: Methods, systems, and devices for object recognition are described. Generally, the described techniques provide for a compact and efficient convolutional neural network (CNN) model for facial recognition. The proposed techniques relate to a light model with a set of layers of convolution and one fully connected layer for feature representation. A new building block of for each convolution layer is proposed. A maximum feature map (MFM) operation may be employed to reduce channels (e.g., by combining two or more channels via maximum feature selection within the channels). Depth-wise separable convolution may be employed for computation reduction (e.g., reduction of convolution computation). Batch normalization may be applied to normalize the output of the convolution layers and the fully connected layer (e.g., to prevent overfitting). The described techniques provide a compact and efficient CNN model which can be used for efficient and effective face recognition.

    Oriented image stitching for spherical image content

    公开(公告)号:US10325391B2

    公开(公告)日:2019-06-18

    申请号:US15357486

    申请日:2016-11-21

    Abstract: Techniques are described related to generating image content. A graphics processing unit (GPU) is configured to receive a first set of images generated from a first camera device in a first location, the first camera device having a first orientation, render for display the first set of images oriented to an orientation reference, receive a second, different set of images generated from a second, different camera device in a second, different location, the second camera device having a second orientation, the second orientation being different than the first orientation, and render for display the second set of images oriented to the orientation reference.

    Methods and systems for appearance based false positive removal in video analytics

    公开(公告)号:US10268895B2

    公开(公告)日:2019-04-23

    申请号:US15973114

    申请日:2018-05-07

    Abstract: Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker is identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame. The blob includes pixels of at least a portion of one or more objects in the current video frame. A current characteristic of pixels in a region of the current video frame associated with the blob tracker is determined. A previous characteristic of pixels in a region of a previous video frame associated with the blob tracker is also determined. A difference is determined between the current characteristic and the previous characteristic, and a status of the blob tracker is determined based on the determined difference. The status of the blob tracker indicating whether to maintain the blob tracker for the one or more video frames.

    Methods and systems of maintaining object trackers in video analytics

    公开(公告)号:US10140718B2

    公开(公告)日:2018-11-27

    申请号:US15384802

    申请日:2016-12-20

    Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for maintaining blob trackers for one or more video frames. A blob tracker can be associated with a blob generated for a video frame. The blob includes pixels of at least a portion of one or more foreground objects in the video frame. The blob tracker can be determined to be a first type of tracker or a second type of tracker. A first type of tracker has a first bounding box and a second bounding box with an overlapping ratio greater than an alignment threshold for the first type of tracker. A second type of tracker has an irregular size change or an irregular motion change over a threshold duration. The blob tracker can be removed from the plurality of blob trackers maintained for the one or more video frames when the blob tracker is the first type of tracker or the second type of tracker.

    Methods and systems of updating motion models for object trackers in video analytics

    公开(公告)号:US10115005B2

    公开(公告)日:2018-10-30

    申请号:US15384997

    申请日:2016-12-20

    Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for performing context-aware object or blob tracker updates (e.g., by updating a motion model of a blob tracker). In some cases, to perform a context-aware blob tracker update, a blob tracker is associated with a first blob. The first blob includes pixels of at least a portion of one or more foreground objects in one or more video frames. A split of the first blob and a second blob in a current video frame can be detected, and a motion model of the blob tracker is reset in response to detecting the split of the first blob and the second blob. In some cases, a motion model of a blob tracker associated with a merged blob is updated to include a predicted location of the blob tracker in a next video frame. The motion model can be updated by using a previously predicted location of blob tracker as the predicted location of the blob tracker in the next video frame in response to the blob tracker being associated with the merged blob. The previously predicted location of the blob tracker can be determined using a blob location of a blob from a previous video frame.

    SYSTEMS AND METHODS FOR VIDEO PROCESSING
    86.
    发明申请

    公开(公告)号:US20180295428A1

    公开(公告)日:2018-10-11

    申请号:US15758881

    申请日:2015-09-25

    Abstract: A system and method of video processing are disclosed. In a particular implementation, a device includes a processor configured to generate index data for video content. The index data includes a summary frame and metadata. The summary frame is associated with a portion of the video content and illustrates multiple representations of an object included in the portion of the video content. The metadata includes marker data that indicates a playback position of the video content. The playback position is associated with the summary frame. The device also includes a memory configured to store the index data.

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