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公开(公告)号：US20160314363A1
公开(公告)日：2016-10-27
申请号：US15059651
申请日：2016-03-03
Inventor： Yun Won CHOI
CPC classification number: G06K9/00805 , G06K9/6202 , G06T7/136 , G06T7/215 , G06T2207/20224 , G06T2207/30261
Abstract: Provided are an obstacle detection apparatus and method using a difference image. The obstacle detection apparatus includes an difference image calculator configured to calculate a difference image from a target image from which an obstacle is to be recognized and a comparison image captured prior to the target image, an obstacle area extractor configured to extract an obstacle area which is predicted as including the obstacle, based on boundary information of the calculated difference image, an obstacle area information calculator configured to analyze image information of the extracted obstacle area to calculate a moving speed and moving direction of the obstacle and calculate a position of the obstacle from a reference positon of a camera, and a dangerous obstacle determiner configured to evaluate a danger grade of the obstacle, based on at least one of the moving speed, moving direction, and position of the obstacle.
Abstract translation: 提供了使用差分图像的障碍物检测装置和方法。 障碍物检测装置包括差分图像计算器，被配置为从要识别障碍物的目标图像和在目标图像之前捕获的比较图像计算差异图像;障碍物区域提取器，被配置为提取作为目标图像的障碍物区域， 被预测为包括障碍物，基于计算出的差分图像的边界信息;障碍物区域信息计算器，被配置为分析所提取的障碍物区域的图像信息，以计算障碍物的移动速度和移动方向，并计算障碍物的位置 基于所述障碍物的移动速度，移动方向以及所述位置中的至少一个，构成为对所述障碍物的危险等级进行评价的危险障碍物判定部。
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公开(公告)号：US20210142101A1
公开(公告)日：2021-05-13
申请号：US17091543
申请日：2020-11-06
Inventor： In Su JANG , Kwang Ju KIM , Seung Woo NAM , Yun Won CHOI
Abstract: Provided are a system and method for preprocessing sequential video images for fire detection based on deep learning and a method of training a deep learning network for fire detection. The system includes a selector configured to select a plurality of sequential images in streaming data as one set, a converter configured to convert color information of the plurality of selected sequential set images into spectral reflectance information using preset standard color space feature information, a filtering part configured to filter the plurality of sequential set images of which the color information is converted into the spectral reflectance information through a fire color filter, and a fire map generator configured to generate one fire map image by compressing the plurality of filtered sequential set images.
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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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