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    MULTI-TO-MULTI TRACKING IN VIDEO ANALYTICS
    21.
    发明申请
    MULTI-TO-MULTI TRACKING IN VIDEO ANALYTICS 有权

    公开(公告)号：US20180046865A1

    公开(公告)日：2018-02-15

    申请号：US15384911

    申请日：2016-12-20

    Applicant: QUALCOMM Incorporated

    Inventor： Ying Chen ,  Lei Wang ,  Jinglun Gao

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/32

    CPC classification number: G06K9/00771 ,  G06K9/3233 ,  G06K9/6201 ,  G06K2009/6213 ,  G06T7/20 ,  G06T2207/10004 ,  G06T2207/10016

    Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for matching a plurality of bounding boxes to a plurality of trackers. In some examples, a first association is performed, in which case one or more of the plurality of bounding boxes are associated with one or more of the plurality of trackers by minimizing distances between the one or more bounding boxes and the one or more trackers. A set of unmatched trackers are identified from the plurality of trackers after the first association. The set of unmatched trackers are not associated with a bounding box from the plurality of bounding boxes during the first association. A second association is then performed, in which case each of the set of unmatched trackers is associated with an associated bounding box from the plurality of bounding boxes that is within a first pre-determined distance. A set of unmatched bounding boxes is identified from the plurality of bounding boxes after the second association. The set of unmatched bounding boxes are not associated with a tracker from the plurality of trackers during the second association. A third association is then performed, in which case each of the set of unmatched bounding boxes is associated with an associated tracker from the plurality of trackers that is within a second pre-determined distance.

    Apparatus and methods for spoofing detection using machine learning processes
    22.
    发明授权
    Apparatus and methods for spoofing detection using machine learning processes 有权

    公开(公告)号：US12142084B2

    公开(公告)日：2024-11-12

    申请号：US17561309

    申请日：2021-12-23

    Applicant: QUALCOMM INCORPORATED

    Inventor： Chun-Ting Huang ,  Lei Wang ,  Ning Bi

    IPC: G06V40/40 ,  G06V10/82 ,  G06V40/16

    Abstract: Methods, systems, and apparatuses are provided to automatically determine whether an image is spoofed. For example, a computing device may obtain an image, and may execute a trained convolutional neural network to ingest elements of the image. Further, and based on the ingested elements of the image, the executed trained convolutional neural network generates an output map that includes a plurality of intensity values. In some examples, the trained convolutional neural network includes a plurality of down sampling layers, a plurality of up sampling layers, and a plurality of joint spatial and channel attention layers. Further, the computing device may determine whether the image is spoofed based on the plurality of intensity values. The computing device may also generate output data based on the determination of whether the image is spoofed, and may store the output data within a data repository.

    Automatic scene calibration method for video analytics
    23.
    发明授权
    Automatic scene calibration method for video analytics 有权

    公开(公告)号：US10372970B2

    公开(公告)日：2019-08-06

    申请号：US15266747

    申请日：2016-09-15

    Applicant: QUALCOMM Incorporated

    Inventor： Lei Wang ,  Dashan Gao ,  Lei Ma ,  Chinchuan Chiu

    IPC: G06T7/00 ,  G06K9/00 ,  H04N13/261 ,  G06T7/80 ,  G06T7/70 ,  G06T7/73 ,  G06T7/246

    Abstract: To determine real-world information about objects moving in a scene, the camera capturing the scene is typically calibrated to the scene. Automatic scene calibration can be accomplished using people that are found moving about in the scene. During a calibration period, a video content analysis system processing video frames from a camera can identify blobs that are associated with people. Using an estimated height of a typical person, the video content analysis system can use the location of the person's head and feet to determine a mapping between the person's location in the 2-D video frame and the person's location in the 3-D real world. This mapping can be used to determine a cost for estimated extrinsic parameters for the camera. Using a hierarchical global estimation mechanism, the video content analysis system can determine the estimated extrinsic parameters with the lowest cost.

    Methods and systems of performing adaptive morphology operations in video analytics
    24.
    发明授权
    Methods and systems of performing adaptive morphology operations in video analytics 有权

    公开(公告)号：US10223590B2

    公开(公告)日：2019-03-05

    申请号：US15262700

    申请日：2016-09-12

    Applicant: QUALCOMM Incorporated

    Inventor： Ying Chen ,  Lei Wang ,  Jinglun Gao ,  Ning Bi

    IPC: G06T5/30 ,  G06K9/00 ,  G06T5/00 ,  G06T7/155 ,  G06T7/194 ,  G06K9/38 ,  G06T7/11

    Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for performing content-adaptive morphology operations. A first erosion function can be performed on a foreground mask of a video frame, including setting one or more foreground pixels of the frame to one or more background pixels. A temporary foreground mask can be generated based on the first erosion function being performed on the foreground mask. One or more connected components can be generated for the frame by performing connected component analysis to connect one or more neighboring foreground pixels. A complexity of the frame (or of the foreground mask of the frame) can be determined by comparing a number of the one or more connected components to a threshold number. A second erosion function can be performed on the temporary foreground mask when the number of the one or more connected components is higher than the threshold number. The one or more connected components can be output for blob processing when the number of the one or more connected components is lower than the threshold number.

    METHODS AND SYSTEMS OF MAINTAINING LOST OBJECT TRACKERS IN VIDEO ANALYTICS
    29.
    发明申请
    METHODS AND SYSTEMS OF MAINTAINING LOST OBJECT TRACKERS IN VIDEO ANALYTICS 审中-公开

    公开(公告)号：US20180046863A1

    公开(公告)日：2018-02-15

    申请号：US15400118

    申请日：2017-01-06

    Applicant: QUALCOMM Incorporated

    Inventor： Ying Chen ,  Lei Wang

    IPC: G06K9/00 ,  G06T7/11 ,  G06T7/70

    CPC classification number: G06K9/00744 ,  G06K9/00771 ,  G06T7/11 ,  G06T7/246 ,  G06T7/70 ,  G06T2207/10016 ,  G06T2207/30232 ,  G06T2207/30241 ,  G06T2210/12

    Abstract: Techniques and systems are provided for maintaining lost blob trackers for one or more video frames. In some examples, one or more blob trackers maintained for a sequence of video frames are identified. The one or more blob trackers are associated with one or more blobs of the sequence of video frames. A transition of a blob tracker from a first type of tracker to a lost tracker is detected at a first video frame. For example, the blob tracker can be transitioned from the first type of tracker to the lost tracker when a blob for which the blob tracker was associated with in a previous frame is not detected in the first video frame. A recovery duration is determined for the lost tracker at the first video frame. For one or more subsequent video frames obtained after the first video frame, the lost tracker is removed from the one or more blob trackers maintained for the sequence of video frames when a lost duration for the lost tracker is greater than the recovery duration. The blob tracker can be transitioned back to the first type of tracker if the lost tracker is associated with a blob in a subsequent video frame prior to expiration of the recovery duration. Trackers and associated blobs are output as identified blob tracker-blob pairs when the trackers are converted from new trackers to trackers of the first type.

    METHODS AND SYSTEMS OF UPDATING MOTION MODELS FOR OBJECT TRACKERS IN VIDEO ANALYTICS
    30.
    发明申请
    METHODS AND SYSTEMS OF UPDATING MOTION MODELS FOR OBJECT TRACKERS IN VIDEO ANALYTICS 审中-公开

    公开(公告)号：US20180046857A1

    公开(公告)日：2018-02-15

    申请号：US15384997

    申请日：2016-12-20

    Applicant: QUALCOMM Incorporated

    Inventor： Jinglun Gao ,  Ying Chen ,  Lei Wang ,  Ning Bi

    IPC: G06K9/00

    CPC classification number: G06K9/00335 ,  G06K9/00718 ,  G06K9/00771 ,  G06T7/246 ,  G06T2207/30232 ,  G06T2207/30241

    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.

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