公开(公告)号：US20190251383A1

公开(公告)日：2019-08-15

申请号：US16394062

申请日：2019-04-25

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： GREGORY SENAY ,  SOTARO TSUKIZAWA ,  MIN YOUNG KIM ,  LUCA RIGAZIO

IPC: G06K9/32 ,  G06K9/00 ,  G06K9/62 ,  G06T7/73 ,  G06N3/08

Abstract: Inputting an image to a neural network, performing convolution on a current frame included in the image to calculate a current feature map, which is a feature map at a present time, combining a past feature map, which is obtained by performing convolution on a past frame included in the image, and the current feature map, estimating an object candidate area using the combined past feature map and current feature map, estimating positional information and identification information regarding the one or more objects included in the current frame using the combined past feature map and current feature map and the estimated object candidate area, and outputting the positional information and the identification information regarding the one or more objects included in the current frame of the image estimated in the estimating as object detection results are included.