Xilinx, Inc.
Object detection in video
Last updated:
Abstract:
Detecting objects in video may include receiving object detections for a plurality of selected frames of a video from a still image detector, wherein the plurality of selected frames are non-adjacent frames of the video, propagating the object detections from the plurality of selected frames to sequential frames of the video adjacent to the plurality of selected frames based on a distance metric and vector flow data for the sequential frames, suppressing false positive object detections from the propagating, and outputting resulting object detections for the sequential frames of the video.
Status:
Grant
Type:
Utility
Filling date:
20 Mar 2019
Issue date:
27 Apr 2021