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    Video-based activity recognition
    31.
    发明授权
    Video-based activity recognition 有权

    公开(公告)号：US11636694B2

    公开(公告)日：2023-04-25

    申请号：US17185800

    申请日：2021-02-25

    Applicant: QUALCOMM Incorporated

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

    IPC: G06K9/62 ,  G06V20/59 ,  G06V20/40 ,  G06F18/214 ,  G06F18/20

    Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include extracting, using a first machine learning model, first one or more features from a first frame and second one or more features from a second frame. The first one or more features and the second one or more features are associated with a person driving a vehicle. The process can include processing, using a second machine learning model, the first one or more features and the second one or more features. The process can include determining, based on processing of the first one or more features and the second one or more features using the second machine learning model, at least one activity associated with the person driving the vehicle.

    Methods and systems of generating a background picture for video coding
    32.
    发明授权
    Methods and systems of generating a background picture for video coding 有权

    公开(公告)号：US10375399B2

    公开(公告)日：2019-08-06

    申请号：US15134183

    申请日：2016-04-20

    Applicant: QUALCOMM Incorporated

    Inventor： Lei Wang ,  Ying Chen ,  Ning Bi ,  Xuerui Zhang ,  Lei Ma ,  Chinchuan Chiu ,  Jianfeng Ren

    IPC: H04N19/159 ,  H04N19/105 ,  H04N19/172 ,  H04N19/182 ,  H04N19/58 ,  H04N19/23 ,  G06T7/254

    Abstract: Techniques and systems are provided for generating a background picture. The background picture can be used for coding one or more pictures. For example, a method of generating a background picture includes generating a long-term background model for one or more pixels of a background picture. The long-term background model includes a statistical model for detecting long-term motion of the one or more pixels in a sequence of pictures. The method further includes generating a short-term background model for the one or more pixels of the background picture. The short-term background model detects short-term motion of the one or more pixels between two or more pictures. The method further includes determining a value for the one or more pixels of the background picture using the long-term background model and the short-term background model.

    Methods and systems for performing sleeping object detection in video analytics
    33.
    发明授权
    Methods and systems for performing sleeping object detection in video analytics 有权

    公开(公告)号：US10269135B2

    公开(公告)日：2019-04-23

    申请号：US15645555

    申请日：2017-07-10

    Applicant: QUALCOMM Incorporated

    Inventor： Ying Chen ,  Zhongmin Wang ,  Lei Wang

    IPC: G06K9/00 ,  H04N5/225 ,  G06T7/70 ,  G06K9/62 ,  G06T7/90

    Abstract: Methods, apparatuses, and computer-readable media are provided for maintaining blob trackers for video frames. For example, a blob tracker maintained for a current video frame is identified. The blob tracker is associated with a blob detected in one or more video frames. The blob includes pixels of at least a portion of a foreground object in the one or more video frames. A current bounding region of the blob tracker for the current video frame is compared to a previous bounding region of the blob tracker for a previous video frame that is obtained earlier in time than the current video frame. It can be determined whether the current bounding region has decreased in size as compared to a size of the previous bounding region, and whether a first color characteristic of pixels of the current video frame included in the previous bounding region is within a threshold from a second color characteristic of pixels of the previous video frame included in the previous bounding region. In some examples, the blob is tracked in the current frame using the current bounding region when the current bounding region has decreased in size and when the first color characteristic is within the threshold from the second color characteristic. In some examples, the blob is tracked using the current bounding region when the blob tracker is determined to be lost (e.g., the blob tracker is not associated with the blob in the current video frame).

    ADAPTIVE BOUNDING BOX MERGE METHOD IN BLOB ANALYSIS FOR VIDEO ANALYTICS
    36.
    发明申请
    ADAPTIVE BOUNDING BOX MERGE METHOD IN BLOB ANALYSIS FOR VIDEO ANALYTICS 审中-公开

    公开(公告)号：US20180047193A1

    公开(公告)日：2018-02-15

    申请号：US15285441

    申请日：2016-10-04

    Applicant: QUALCOMM Incorporated

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

    IPC: G06T11/60 ,  G06T7/60

    CPC classification number: G06T7/248 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/30232 ,  G06T2207/30236 ,  G06T2207/30241 ,  G06T2210/12

    Abstract: Provided are methods, apparatuses, and computer-readable medium for content-adaptive bounding box merging. A system using content-adaptive bounding box merging can adapt its merging criteria according to the objects typically present in a scene. When two bounding boxes overlap, the content-adaptive merge engine can consider the overlap ratio, and compare the merged bounding box against a minimum object size. The minimum object size can be adapted to the size of the blobs detected in the scene. When two bounding boxes do not overlap, the system can consider the horizontal and vertical distances between the bounding boxes. The system can further compare the distances against content-adaptive thresholds. Using a content-adaptive bounding box merge engine, a video content analysis system may be able to more accurately merge (or not merge) bounding boxes and their associated blobs.

    METHODS AND SYSTEMS OF MAINTAINING OBJECT TRACKERS IN VIDEO ANALYTICS
    37.
    发明申请
    METHODS AND SYSTEMS OF MAINTAINING OBJECT TRACKERS IN VIDEO ANALYTICS 审中-公开

    公开(公告)号：US20180047171A1

    公开(公告)日：2018-02-15

    申请号：US15384802

    申请日：2016-12-20

    Applicant: QUALCOMM Incorporated

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

    IPC: G06T7/20 ,  G06T7/60 ,  G06T7/30 ,  G06T7/13

    CPC classification number: G06T7/20 ,  G06K9/00711 ,  G06K9/4671 ,  G06T7/13 ,  G06T7/246 ,  G06T7/30 ,  G06T7/60 ,  G06T2207/30232 ,  G06T2207/30241

    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.

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