SYSTEMS AND METHODS FOR OBJECT DETECTION
    2.
    发明申请

    公开(公告)号:US20190332897A1

    公开(公告)日:2019-10-31

    申请号:US15963340

    申请日:2018-04-26

    IPC分类号: G06K9/62 G06T7/20

    摘要: A method performed by an electronic device is described. The method includes receiving a set of images. The method also includes determining a motion region and a static region based on the set of images. The method further includes extracting, at a first rate, first features from the motion region. The method additionally includes extracting, at a second rate that is different from the first rate, second features from the static region. The method also includes caching the second features. The method further includes detecting at least one object based on at least a portion of the first features.

    Methods and systems of generating a background picture for video coding

    公开(公告)号:US10375399B2

    公开(公告)日:2019-08-06

    申请号:US15134183

    申请日:2016-04-20

    摘要: 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.

    Synchronization mechanism for image capture and processing systems

    公开(公告)号:US11283994B2

    公开(公告)日:2022-03-22

    申请号:US17109009

    申请日:2020-12-01

    IPC分类号: H04N5/232 G06F1/16

    摘要: Techniques and systems are provided for processing image data. For example, an image signal processor can obtain (e.g., from a host processor) a first setting change indicator value indicating a change in parameter settings of the image signal processor. The image signal processor can obtain an image frame from an image sensor, and can determine a second setting change indicator value from the image frame. The second setting change indicator value can be provided to the image sensor from the host processor. The second setting change indicator value indicates a change in parameter settings of the image sensor. The image signal processor can compare the first setting change indicator value to the second setting change indicator value, and can determine whether to process the image frame or to drop the image frame based on comparing the first setting change indicator value to the second setting change indicator value.

    Systems and methods for object detection

    公开(公告)号:US10776665B2

    公开(公告)日:2020-09-15

    申请号:US15963340

    申请日:2018-04-26

    IPC分类号: G06K9/62 G06T7/20

    摘要: A method performed by an electronic device is described. The method includes receiving a set of images. The method also includes determining a motion region and a static region based on the set of images. The method further includes extracting, at a first rate, first features from the motion region. The method additionally includes extracting, at a second rate that is different from the first rate, second features from the static region. The method also includes caching the second features. The method further includes detecting at least one object based on at least a portion of the first features.

    Automatic scene calibration method for video analytics

    公开(公告)号:US10372970B2

    公开(公告)日:2019-08-06

    申请号:US15266747

    申请日:2016-09-15

    摘要: 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.