Methods and systems for performing sleeping object detection in video analytics

    公开(公告)号:US10269135B2

    公开(公告)日:2019-04-23

    申请号:US15645555

    申请日:2017-07-10

    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).

    Methods and systems for splitting merged objects in detected blobs for video analytics

    公开(公告)号:US10229503B2

    公开(公告)日:2019-03-12

    申请号:US15599281

    申请日:2017-05-18

    Abstract: Methods, apparatuses, and computer-readable media are provided for splitting one or more merged blobs for one or more video frames. A blob detected for a current video frame is identified. The identified blob includes pixels of at least a portion of a foreground object in the current video frame. The identified blob is determined to be associated with two or more blob trackers from a plurality of blob trackers. The plurality of blob trackers are received from an object tracking operation performed for a previous video frame. It is then determined whether one or more splitting conditions are met. The splitting conditions can be based on a spatial relationship between bounding regions of the two or more blob trackers and a bounding region of the identified blob. The identified blob can be split into a first blob and a second blob in response to determining the one or more splitting conditions are met. If the identified blob is split, the first blob and the second blob are output for object tracking for the current frame by an object tracking system. In some cases, the identified blob is not output for object tracking for the current frame.

    METHODS AND SYSTEMS FOR PERFORMING SLEEPING OBJECT DETECTION IN VIDEO ANALYTICS

    公开(公告)号:US20180268563A1

    公开(公告)日:2018-09-20

    申请号:US15645555

    申请日:2017-07-10

    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).

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