发明名称 VISION-BASED SYSTEM FOR DYNAMIC WEATHER DETECTION
摘要 A method of detecting a dynamic weather event includes the steps of: (a) receiving video images of a scene from a camera; (b) dividing each of the video images into multiple regions, in which a region is defined by a range of distances from the camera to objects in the scene; (c) selecting a region; and (d) segmenting the selected region into a plurality of three-dimensional (3D) image patches, in which each 3D image patch includes a time-sequence of T patches, with each patch comprised of N×M pixels, wherein N, M and T are integer numbers. The method also includes the following steps: measuring an image intensity level in each of the 3D image patches; masking 3D image patches containing image intensity levels that are above a first threshold level, or below a second threshold level; and extracting features in each 3D image patch that is not discarded by the masking step. Based on the extracted features, the method makes a binary decision on detecting a dynamic weather event.
申请公布号 US2016026865(A1) 申请公布日期 2016.01.28
申请号 US201414339891 申请日期 2014.07.24
申请人 EXELlS, INC. 发明人 REYNOLDS, JR. WILLIAM D.
分类号 G06K9/00;G06T7/00 主分类号 G06K9/00
代理机构 代理人
主权项 1. A method of detecting a dynamic weather event comprising the steps of: receiving video images of a scene from a camera; dividing each of the video images into multiple regions, in which a region is defined by a range of distances from the camera to objects in the scene; selecting a region; segmenting the selected region into a plurality of three-dimensional (3D) image patches, in which each 3D image patch includes a time-sequence of T patches, with each patch comprised of N×M pixels, wherein N, M and T are integer numbers; measuring an image intensity level in each of the 3D image patches; masking 3D image patches containing image intensity levels that are above a first threshold level, or below a second threshold level; extracting features in each 3D image patch that is not discarded by the masking step; and in response to the extracted features, making a binary decision on detecting a dynamic weather event.
地址 MCLEAN VA US