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US 2021/0004601 A1Published application
Computer-implemented method
AssigneeVaion Limited
InventorSamuel Lancia
Life of this patent
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Abstract
A computer-implemented method of identifying an object within a video stream from a camera, and determining the consistency with which the object is identified within plural temporally spaced video frames of the video stream.
Claims13
A computer-implemented method of identifying an object within a video stream collected by a camera, and determining the consistency with which the object is identified within plural temporally spaced video frames of the video stream, the method comprising:
- receiving a first video frame of the plural video frames at a first time;
- identifying an object within the first video frame;
- labelling the object with a label;
- storing the label of the object in association with an identifier of a first position of the object within the first video frame;
- receiving a second video frame of the plural video frames corresponding to a second time, temporally different from the first time;
- identifying an object within the second video frame;
- labelling the object, wherein the object in the second video frame is the same as the object in the first video frame;
- deriving a motion vector between the first video frame and the second video frame, using the position of the object in the first frame and the position of the object in the second frame;
- and
- determining a consistency with which the object in the first video frame and the object in the second video frame have been identified, using the derived cumulative motion vector.
7 more elements
A system, including a processor, wherein the processor is configured to:
- receive a first video frame of a video stream, the video stream including plural temporally spaced video frames, the first video frame corresponding to a first time;
- identify an object within the first video frame, and label the object;
- store the label of the object, together with the position of the object within the first video frame;
- receive a second video frame of the plural video frames, corresponding to a second time, temporally different from the first time;
- identify an object within the second video frame, and label the object;
- derive a motion vector between the first video frame and the second video frame, using the position of the object in the first frame and the position of the object in the second frame;
- and
- determine a consistency with which the object in the first video frame and the object in the second video frame have been identified, using the derived cumulative motion vector.
5 more elements
Dependencies are inferred from the claim text.