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公开(公告)号：US20220148193A1
公开(公告)日：2022-05-12
申请号：US17522469
申请日：2021-11-09
Inventor： Yun Won CHOI , Jang Woon BAEK , Joon Goo LEE , Kil Taek LIM
Abstract: The present invention is directed to solving the existing problems and provides an apparatus and method for optimizing object detection performance by re-learning data specific to an installed location from an online server using a localization module in an edge terminal receiving a fixed image like a closed circuit television (CCTV) camera.
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公开(公告)号：US20220147773A1
公开(公告)日：2022-05-12
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
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.
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