-
公开(公告)号:US10311319B2
公开(公告)日:2019-06-04
申请号:US15598414
申请日:2017-05-18
Inventor: Pyong Kun Kim , Hyun Woo Kang , Kwang Ju Kim , Jong Taek Lee , Kil Taek Lim , Yun Su Chung , Byung Gil Han
Abstract: Provided is a technology for recognizing vehicle license plate information which includes detecting a position of a license plate from a vehicle image obtained by imaging a vehicle, extracting individual character images by separating a plurality of characters from a region of the detected license plate in the vehicle image and extracting a license plate type of the license plate according to a predetermined criterion, recognizing a license plate character string on the basis of the extracted individual character images and the license plate type and outputting the recognized license plate character string.
-
公开(公告)号:US12026231B2
公开(公告)日:2024-07-02
申请号:US17497771
申请日:2021-10-08
Inventor: Joon Goo Lee , Jang Woon Baek , Kil Taek Lim , Yun Won Choi , Byung Gil Han
CPC classification number: G06F18/217 , G06T7/194 , G06V20/52 , G06T2207/10024 , G06T2207/20036 , G06T2207/20081 , G06T2207/20084 , G06T2207/30232
Abstract: Provided is a method of creating a local database for local optimization of an object detector based on a deep neural network. The method includes performing preprocessing on an image extracted from real-time collected or pre-collected images from an edge device, modeling a static background image based on the image received through the pre-processing unit and calculating a difference image between a current input image and a background model to model a dynamic foreground image, detecting an object image from the image based on a training model, and creating a local database based on the background image, the foreground image synthesized with the background image, and the object image synthesized with the background image.
-