• Title/Summary/Keyword: 열화상영상

Search Result 143, Processing Time 0.026 seconds

Infrared Thermal Video Stabilization Performance Comparison (열화상 영상 안정화 성능 비교)

  • Park, Chan-hyeok;Kwon, Hyuk-shin;Kang, Seok-hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2015.10a
    • /
    • pp.101-104
    • /
    • 2015
  • Motion vector is that comparing a frame between previous frame and current one about how much moved. Using this motion vector, if move the image object of current frame to former frame, it could be corrected to shake from hand and camera shaking. On this thesis, compared efficiency of block matching using SAD(Sum of Absolute Difference) equation as picking out the motion vector, matching using phase correlation, matching using feature point, block matching using bitplane.

  • PDF

Design of Face with Mask Detection System in Thermal Images Using Deep Learning (딥러닝을 이용한 열영상 기반 마스크 검출 시스템 설계)

  • Yong Joong Kim;Byung Sang Choi;Ki Seop Lee;Kyung Kwon Jung
    • Convergence Security Journal
    • /
    • v.22 no.2
    • /
    • pp.21-26
    • /
    • 2022
  • Wearing face masks is an effective measure to prevent COVID-19 infection. Infrared thermal image based temperature measurement and identity recognition system has been widely used in many large enterprises and universities in China, so it is totally necessary to research the face mask detection of thermal infrared imaging. Recently introduced MTCNN (Multi-task Cascaded Convolutional Networks)presents a conceptually simple, flexible, general framework for instance segmentation of objects. In this paper, we propose an algorithm for efficiently searching objects of images, while creating a segmentation of heat generation part for an instance which is a heating element in a heat sensed image acquired from a thermal infrared camera. This method called a mask MTCNN is an algorithm that extends MTCNN by adding a branch for predicting an object mask in parallel with an existing branch for recognition of a bounding box. It is easy to generalize the R-CNN to other tasks. In this paper, we proposed an infrared image detection algorithm based on R-CNN and detect heating elements which can not be distinguished by RGB images.

A Novel Video Copy Detection Method based on Statistical Analysis (통계적 분석 기반 불법 복제 비디오 영상 감식 방법)

  • Cho, Hye-Jeong;Kim, Ji-Eun;Sohn, Chae-Bong;Chung, Kwang-Sue;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
    • /
    • v.14 no.6
    • /
    • pp.661-675
    • /
    • 2009
  • The carelessly and illegally copied contents are raising serious social problem as internet and multimedia technologies are advancing. Therefore, development of video copy detection system must be settled without delay. In this paper, we propose the hierarchical video copy detection method that estimates similarity using statistical characteristics between original video and manipulated(transformed) copy video. We rank according to luminance value of video to be robust to spacial transformation, and choose similar videos categorized as candidate segments in huge amount of database to reduce processing time and complexity. The copy videos generally insert black area in the edge of the image, so we remove rig black area and decide copy or not by using statistical characteristics of original video and copied video with center part of frame that contains important information of video. Experiment results show that the proposed method has similar keyframe accuracy to reference method, but we use less memory to save feature information than reference's, because the number of keyframes is less 61% than that of reference's. Also, the proposed method detects if the video is copied or not efficiently despite expansive spatial transformations such as blurring, contrast change, zoom in, zoom out, aspect ratio change, and caption insertion.

An Improved Tracking Parameter File Generation Method using Azimuth Fixing Method (방위각 고정 기법을 이용한 개선된 Tracking Parameter File 생성 방법)

  • Jeon, Moon-Jin;Kim, Eunghyun;Lim, Seong-Bin
    • Aerospace Engineering and Technology
    • /
    • v.12 no.2
    • /
    • pp.1-6
    • /
    • 2013
  • A LEO satellite transmits recorded images to a ground station using an X-band antenna during contact. The X-band antenna points to the ground station according to a TPF (tracking parameter file) during communication time. A TPF generation software generates azimuth and elevation profile which make the antenna point to the ground station using satellite orbit and attitude information and mission information including recording and downlink operation. When the satellite passes above the ground station, azimuth velocity increases rapidly so that jitter may occur if the azimuth velocity is in specific range. In case of realtime mission in which the satellite perform recording and downlink simultaneously, azimuth velocity must be lower than specific value to prevent image blur due to jitter effect. The method to point one virtual ground station has limitation of azimuth velocity reduction. In this paper, we propose the azimuth fixing method to reduce azimuth velocity of X-band antenna. The experimental results show that azimuth velocity of the X-band antenna is remarkably reduced using proposed method.

A Study on Generation of Reverse Parking Guideline Reflecting Position of Camera (카메라 위치를 반영한 후진 주차 가이드라인 생성 연구)

  • Heo, Jun-Ho;Lee, Seon-Bong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.3
    • /
    • pp.591-598
    • /
    • 2016
  • The final step of driving a car is parking, which is the most difficult part for people learning to drive. Parking in narrow parking spaces is difficult for both ordinary drivers and beginners. To solve this problem, the development of SPAS (Smart Parking Assist System), ACC (Automatic Control System) improves the convenience of drivers. In addition, parking assistance systems have been developed to recognize more accurately the surrounding environment to the driver using the ultrasound, camera, thermal camera, and radar. This paper proposes the reverse turning radius to process images as if the camera is located in the center of the vehicle regardless of the actual camera position. In addition, it generates the parking guidelines through verification using the vehicle.

A Design of a Drone for Cleaning Polluted Areas on the Surface of Solar Panels using a 3-D SLAM Technique (SLAM 기술을 활용한 태양광 발전기 패널 표면의 오염영역 청소 드론 설계)

  • Jang, Woo-Hee;Kim, Ye-Eun;Kim, Hee-Jeong;Lee, Eun-Jin;Geun, Yoon Taek;Lee, Hong-Chang;Lee, Kwangjae
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2019.10a
    • /
    • pp.1056-1059
    • /
    • 2019
  • 본 논문은 SLAM 기술로 3D 매핑하고 태양광 발전기 패널 표면의 오염영역을 파악하여 청소하는 자율비행 드론에 대한 연구이다. 본 프로젝트에서 구현된 드론은 SLAM 기술을 활용하여 3D 매핑과 ROS Topic 통신으로 자율비행을 하면서 카메라로 촬영한 영상에서 태양광 발전기 패널을 파악하고 패널에 있는 얇은 먼지막을 프로펠러에 의하여 발생하는 바람으로 제거한다. 그리고 열화상 카메라로 확인된 고오염 또는 고장으로 인한 발열 부분에 페인트 볼을 떨어트려 시각적으로 표시하고 관리자에게 능동적으로 알린다. 이로 인해 제안된 방법에 따라 넓은 영역에 분포된 다수의 태양광 발전기 패널의 오염정도를 쉽게 파악하고 저오염 영역의 즉각적인 청소 및 고오염 영역의 빠른 보고로 인하여 전반적인 태양광 발전 효율을 제고할 수 있으며, 수동으로 이루어지는 인력 관리에 비하여 오염지역 파악 및 제거 시간이 보다 빠르고 정확하게 이루어질 수 있다.

Vote Decision-based Deinterlacing Scheme For Directional Error Correction (방향성 오류 교정을 위한 투표 결정 기반의 디인터레이싱 방법)

  • Oh, Sye-Hoon;Lee, Yeo-Song;Ahn, Chang-Beom;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
    • /
    • v.14 no.3
    • /
    • pp.342-356
    • /
    • 2009
  • This paper presents a vote decision-based deinterlacing scheme for false directional error correction(VDD) to convert interlaced signal into non-interlaced signal using only one fields. The VDD using the vote decision goes through four steps process. The first step extracts regions having doubt of false edge using MM-ELA method. In these regions, the edge direction is decided by the majority vote using upper adjacent pixels's information through the second step. But, we still have undecided directions, which will be decided by the majority vote and the directional average decision at the third step. This step preserves the edge directions and minimizes visual degradation. Finally, the last step interpolates undecided pixels using DOI method which can consider the fine edge direction. Although the VDD with hierarchical structure has a high complexity, it can extract delicate edge compared to other pixel-by-pixel or window-by-window deinterlacing algorithms. Simulation results show that it has significantly improved both the subjective and objective qualities of the reconstructed images.

Study on the Quadcopter for Person Search using PID Control and HSV (PID 제어 및 HSV를 활용한 인명 수색용 쿼드콥터에 관한 연구)

  • Ji, Min-Seok;Kim, Byeong-Kwan;Kim, Jun-Woo;Park, Nae-Hyeok;Park, Hyoung-keun
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.17 no.1
    • /
    • pp.139-146
    • /
    • 2022
  • Mountain accidents such as forest fires and missing people are increasing as hikers increase due to indoor activities restrictions caused by the prolonged COVID-19 incident. If a dangerous situation occurs at outside where rescue workers cannot reach, the search time for person can be reduced using a quadcopter. Considering this, in this paper, Multiwii is used to smoothly hover the quadcopter by setting optimized PID values of the x-axis, y-axis, and z-axis (Yaw) according to the change in the inclination of the gas. In addition, after installing Open CV on Raspberry Pie, the camera uses HSV color space to filter the color such as the description of the person, and uses a thermal imaging camera to receive thermal sensing images in real time in environments where color extraction is difficult. As a result, it was confirmed that hovering was possible at a height of 2 to 8 m, blue extraction was possible at a height of 5 m, and heat detection was possible at a distance of less than 10 cm.

The flight Test Procedures For Agricultural Drones Based on 5G Communication (5G 통신기반 농업용 드론 비행시험 절차)

  • Byeong Gyu Gang
    • Journal of Aerospace System Engineering
    • /
    • v.17 no.2
    • /
    • pp.38-44
    • /
    • 2023
  • This study aims to determine how agricultural drones are operated for flight tests using a 5G communication in order to carry out a mission such as sensing agricultural crop healthy status with special cameras. Drones were installed with a multi-spectral and IR camera to capture images of crop status in separate altitudes with different speeds. A multi-spectral camera can capture crop image data using five different particular wavelengths with a built-in GPS so that captured images with synchronized time could provide better accuracy of position and altitude during the flight time. Captured thermal videos are then sent to a ground server to be analyzed via 5G communication. Thus, combining two cameras can result in better visualization of vegetation areas. The flight test verified how agricultural drones equipped with special cameras could collect image data in vegetation areas.

Unmanned Multi-Sensor based Observation System for Frost Detection - Design, Installation and Test Operation (서리 탐지를 위한 '무인 다중센서 기반의 관측 시스템' 고안, 설치 및 시험 운영)

  • Kim, Suhyun;Lee, Seung-Jae;Son, Seungwon;Cho, Sungsik;Jo, Eunsu;Kim, Kyurang
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.24 no.2
    • /
    • pp.95-114
    • /
    • 2022
  • This study presented the possibility of automatic frost observation and the related image data acquisition through the design and installation of a Multiple-sensor based Frost Observation System (MFOS). The MFOS is composed of an RGB camera, a thermal camera and a leaf wetness sensor, and each device performs complementary roles. Through the test operation of the equipment before the occurrence of frost, the voltage value of the leaf wetness sensor increased when maintaining high relative humidity in the case of no precipitation. In the case of Gapyeong- gun, the high relative humidity was maintained due to the surrounding agricultural waterways, so the voltage value increased significantly. In the RGB camera image, leaf wetness sensor and the surface were not observed before sunrise and after sunset, but were observed for the rest of the time. In the case of precipitation, the voltage value of the leaf wetness sensor rapidly increased during the precipitation period and decreased after the precipitation was terminated. In the RGB camera image, the leaf wetness sensor and surface were observed regardless of the precipitation phenomenon, but the thermal camera image was taken due to the precipitation phenomenon, but the leaf wetness sensor and surface were not observed. Through, where actual frost occurred, it was confirmed that the voltage value of leaf wetness sensor was higher than the range corresponding to frost, but frost was observed on the surface and equipment surface by the RGB camera.