公开(公告)号：US20220189037A1

公开(公告)日：2022-06-16

申请号：US17379425

申请日：2021-07-19

申请人： JONG HEON LIM ,  HYUN WOO LEE ,  SEUNG HOON JUNG ,  SUNGJIN LEE

发明人： JONG HEON LIM ,  HYUN WOO LEE ,  SEUNG HOON JUNG ,  SUNGJIN LEE

IPC分类号： G06T7/20 ,  H04N7/18

摘要： The present invention generally relates to a technology of detecting a stationary object in a static video, i.e., a video which is generated by a camera with a fixed view, such as a CCTV video. More specifically, the present invention relates to a technology of identifying a stationary object by use of inference information (Tensor, Activation Map) of Deep Learning object detector among objects which have been detected in a static video such as a CCTV video. According to the present invention, it is possible to lower the priority of stationary objects (e.g., parked vehicles) in processing a static video so that computing resource of the video analysis system can be effectively utilized in the process after object detection so as to enhance the performance of image analysis.