• 제목/요약/키워드: Infrared Video

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Distance Measurement of Small Moving Object using Infrared Stereo Camera (적외선 스테레오 카메라를 이용한 소형 이동체의 거리 측정)

  • Oh, Jun-Ho;Lee, Sang-Hwa;Lee, Boo-Hwan;Park, Jong-Il
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.3
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    • pp.53-61
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    • 2012
  • This paper proposes a real-time distance measurement system of high temperature and high speed target using infrared stereo camera. We construct an infrared stereo camera system that measure the difference between target and background temperatures for automatic target measurement. First, the proposed method detects target region based on target motion and intensity variation of local region using difference between target and background temperatures. Second, stereo matching by left and right target information is used to estimate disparity about real-time distance of target. In the proposed method using infrared stereo camera system, we compare distances in three dimension trajectory measuring instrument and in infrared stereo camera measurement. In this experiment from three video data, the result shows an average 9.68% distance error rate. The proposed method is suitable for distance and position measurement of varied targets using infrared stereo system.

Research on Local and Global Infrared Image Pre-Processing Methods for Deep Learning Based Guided Weapon Target Detection

  • Jae-Yong Baek;Dae-Hyeon Park;Hyuk-Jin Shin;Yong-Sang Yoo;Deok-Woong Kim;Du-Hwan Hur;SeungHwan Bae;Jun-Ho Cheon;Seung-Hwan Bae
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.41-51
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    • 2024
  • In this paper, we explore the enhancement of target detection accuracy in the guided weapon using deep learning object detection on infrared (IR) images. Due to the characteristics of IR images being influenced by factors such as time and temperature, it's crucial to ensure a consistent representation of object features in various environments when training the model. A simple way to address this is by emphasizing the features of target objects and reducing noise within the infrared images through appropriate pre-processing techniques. However, in previous studies, there has not been sufficient discussion on pre-processing methods in learning deep learning models based on infrared images. In this paper, we aim to investigate the impact of image pre-processing techniques on infrared image-based training for object detection. To achieve this, we analyze the pre-processing results on infrared images that utilized global or local information from the video and the image. In addition, in order to confirm the impact of images converted by each pre-processing technique on object detector training, we learn the YOLOX target detector for images processed by various pre-processing methods and analyze them. In particular, the results of the experiments using the CLAHE (Contrast Limited Adaptive Histogram Equalization) shows the highest detection accuracy with a mean average precision (mAP) of 81.9%.

A Study on the Improvement of Image Quality for a Thermal Imaging System with focal Plane Array Typed Sensor (초점면 배열 방식 열상 카메라 시스템의 화질 개선 연구)

  • 박세화
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.1 no.2
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    • pp.27-31
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    • 2000
  • Thermal imaging system is implemented for the measurement and the analysis of the thermal distribution of the target objects. The main Part of the system is thermal camera in which a focal plane array typed sensor is introduced The sensor detects mid-range infrared spectrum or target objects and then it output generic video signal which should be processed to form a thermal image frame. A digital signal processor(DSP) in the system inputs analog to digital converted data. performs algorithms to improve the thermal images and then outputs the corrected frame data to frame buffers for NTSC encoding and for digital outputs.. To enhance the quality of the thermal images, two point correction method is applied. Figures indicate that the corrected thermal images are much improved.

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Performance Improvement for Tracking Small Targets (고기동 표적 추적 성능 개선을 위한 연구)

  • Jung, Yun-Sik;Kim, Kyung-Su;Song, Taek-Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.11
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    • pp.1044-1052
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    • 2010
  • In this paper, a new realtime algorithm called the RTPBTD-HPDAF (Recursive Temporal Profile Base Target Detection with Highest Probability Data Association Filter) is presented for tracking fast moving small targets with IIR (Imaging Infrared) sensor systems. Spatial filter algorithms are mainly used for target in IIR sensor system detection and tracking however they often generate high density clutter due to various shapes of cloud. The TPBTD (Temporal Profile Base Target Detection) algorithm based on the analysis of temporal behavior of individual pixels is known to have good performance for detection and tracking of fast moving target with suppressing clutter. However it is not suitable to detect stationary and abruptly maneuvering targets. Moreover its computational load may not be negligible. The PTPBTD-HPDAF algorithm proposed in this paper for real-time target detection and tracking is shown to be computationally cheap while it has benefit of tracking targets with abrupt maneuvers. The performance of the proposed RTPBTD-HPDAF algorithm is tested and compared with the spatial filter with HPDAF algorithm for run-time and track initiation at real IIR video.

Implementation of an improved real-time object tracking algorithm using brightness feature information and color information of object

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.5
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    • pp.21-28
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    • 2017
  • As technology related to digital imaging equipment is developed and generalized, digital imaging system is used for various purposes in fields of society. The object tracking technology from digital image data in real time is one of the core technologies required in various fields such as security system and robot system. Among the existing object tracking technologies, cam shift technology is a technique of tracking an object using color information of an object. Recently, digital image data using infrared camera functions are widely used due to various demands of digital image equipment. However, the existing cam shift method can not track objects in image data without color information. Our proposed tracking algorithm tracks the object by analyzing the color if valid color information exists in the digital image data, otherwise it generates the lightness feature information and tracks the object through it. The brightness feature information is generated from the ratio information of the width and the height of the area divided by the brightness. Experimental results shows that our tracking algorithm can track objects in real time not only in general image data including color information but also in image data captured by an infrared camera.

A Frequency Spectrum Analysis based on FFT of Fire Thermal Image (FFT를 이용한 화재 열영상의 주파수 스펙트럼 분석)

  • Kim, Won-Ho;Jang, Bok-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.1
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    • pp.33-37
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    • 2011
  • This paper presents the frequency spectral analysis based on FFT of the infrared ray fire thermal image, it is an object to deduce the conditions for determining fire alarm through the image processing with the frequency domain. After the candidate regions are separated by using pre-defined brightness value, the fast fourier transform is performed for consecutive infrared thermal images, the frequency spectral analysis of the thermal image analyzed DC and AC frequency distribution. The fire criterion of the thermal image was presented based on the analyzed result and a practicality was confirmed through the computer simulation.

Immersive user interfaces for visual telepresence in human-robot interaction (사람과 로봇간 원격작동을 위한 몰입형 사용자 인터페이스)

  • Jang, Su-Hyeong
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.406-410
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    • 2009
  • As studies on more realistic human-robot interface are being actively carried out, people's interests about telepresence which remotely controls robot and obtains environmental information through video display are increasing. In order to provide natural telepresence services by moving a remote robot, it is required to recognize user's behaviors. The recognition of user movements used in previous telepresence system was difficult and costly to be implemented, limited in its applications to human-robot interaction. In this paper, using the Nintendo's Wii controller getting a lot of attention in these days and infrared LEDs, we propose an immersive user interface that easily recognizes user's position and gaze direction and provides remote video information through HMD.

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User Interfaces for Visual Telepresence in Human-Robot Interaction Using Wii Controller (WII 컨트롤러를 이용한 사람과 로봇간 원격작동 사용자 인터페이스)

  • Jang, Su-Hyung;Yoon, Jong-Won;Cho, Sung-Bae
    • Journal of the HCI Society of Korea
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    • v.3 no.1
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    • pp.27-32
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    • 2008
  • As studies on more realistic human-robot interface are being actively carried out, people's interests about telepresence which remotely controls robot and obtains environmental information through video display are increasing. In order to provide natural telepresence services by moving a remote robot, it is required to recognize user's behaviors. The recognition of user movements used in previous telepresence system was difficult and costly to be implemented, limited in its applications to human-robot interaction. In this paper, using the Nintendo's Wii controller getting a lot of attention in these days and infrared LEDs, we propose an immersive user interface that easily recognizes user's position and gaze direction and provides remote video information through HMD.

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A Study on Unmanned Image Tracking System based on Smart Phone (스마트폰 기반의 무인 영상 추적 시스템 연구)

  • Ahn, Byeong-tae
    • Journal of Convergence for Information Technology
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    • v.9 no.3
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    • pp.30-35
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    • 2019
  • An unattended recording system based on smartphone based image image tracking is rapidly developing. Among the existing products, a system that automatically tracks and rotates the object to be photographed using an infrared signal is very expensive for general users. Therefore, this paper proposes a mobile unattended recording system that enables automatic recording by anyone who uses a smartphone. The system consists of a commercial mobile camera, a servomotor that moves the camera from side to side, a microcontroller to control the motor, and a commercial wireless Bluetooth Earset for video audio input. In this paper, we designed a system that enables unattended recording through image tracking using smartphone.

Design and Implementation of an OSGi-based Old Age Patient Care System in Embedded Programming on RFIDs and Infrared Sensors (RFID와 적외선 센서의 임베디드 프로그래밍을 통한 OSGi 기반 노령 환자 케어 시스템의 설계 및 구현)

  • Cha, Si-Ho;Kim, Dae-Young;Choi, Jae-Ho;Lee, Jong-Eon;Kim, Kyu-Ho;Cho, Kuk-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11B
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    • pp.1005-1012
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    • 2008
  • According to an aging population has dramatically increased in over the world, silver care becomes more important than other field. In this paper, we design and implement an old age patient care system that allows a carer to instantly monitor the status of proteges and notifies emergency of a patient to a medical institute. The system uses RFIDs and infrared sensors implemented in embedded software to analyze the activity and movement detection of the elderly. And the home gateway allows easy integration with heterogeneous devices by employing OSGi that is a middleware standard for home gateways. We can verify the information on the activity per day and the activity per week by Web browsers and view realtime video on the elderly by Web Cam using the implemented system. The system also can send us cell phone messages and E-mail in case of emergency.