• Title/Summary/Keyword: infrared image analysis

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Multi-feature local sparse representation for infrared pedestrian tracking

  • Wang, Xin;Xu, Lingling;Ning, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1464-1480
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    • 2019
  • Robust tracking of infrared (IR) pedestrian targets with various backgrounds, e.g. appearance changes, illumination variations, and background disturbances, is a great challenge in the infrared image processing field. In the paper, we address a new tracking method for IR pedestrian targets via multi-feature local sparse representation (SR), which consists of three important modules. In the first module, a multi-feature local SR model is constructed. Considering the characterization of infrared pedestrian targets, the gray and edge features are first extracted from all target templates, and then fused into the model learning process. In the second module, an effective tracker is proposed via the learned model. To improve the computational efficiency, a sliding window mechanism with multiple scales is first used to scan the current frame to sample the target candidates. Then, the candidates are recognized via sparse reconstruction residual analysis. In the third module, an adaptive dictionary update approach is designed to further improve the tracking performance. The results demonstrate that our method outperforms several classical methods for infrared pedestrian tracking.

Manufactures of dental casting Co-Cr-Mo based alloys in addition to Sn, Cu and analysis of infrared thermal image for melting process of its alloys (Sn 및 Cu를 첨가한 치과 주조용 Co-Cr-Mo계 합금제조 및 용해과정 분석)

  • Kang, Hoo-Won;Park, Young-Sik;Hwang, In;Lee, Chang-Ho;Heo, Yong;Won, Yong-Gwan
    • Journal of Technologic Dentistry
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    • v.36 no.3
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    • pp.141-147
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    • 2014
  • Purpose: Dental casting #Gr I (Co-25Cr-5Mo-3Sn-1Mn-1Si), #Gr II (Co-25Cr-5Mo-5Cu-1Mn -1Si) and #Gr III (Co-25Cr-5Mo-3Sn-5Cu-1Mn-1Si) master alloys of granule type were manufactured the same as manufacturing processes for dental casting Ni-Cr and Co-Cr-Mo based alloys of ingot type. These alloys were analyzed melting processes with heating time of high frequency induction centrifugal casting machine using infrared thermal image analyzer. Methods: These alloys were manufactured such as; alloy design, the first master alloy manufatured using vacuum arc casting machine, melting metal setting in crucible, melting in VIM, pouring in the mold of bar type, cutting the gate and runner bar and polishing. These alloys were put about 30g/charge in the ceramic crucible of high frequency induction centrifugal casting machine and heat, Infrared thermal image analyzer indicated alloys in the crucible were set and operated. Results: The melting temperatures of these alloys measuring infrared thermal image analyzer were decreased in comparison with remanium$^{(R)}$ GM 800+, vera PDI$^{TM}$, Biosil$^{(R)}$ f, WISIL$^{(R)}$ M type V, Ticonium 2000 alloys of ingot type and vera PDS$^{TM}$(Aabadent, USA), Regalloy alloys of shot type. Conclusion: Co-Cr-Mo based alloy in addition to Sn(#Gr I alloy) were decreased the melting temperature with heating time of high frequency induction centrifugal casting machine using infrared thermal image analyzer.

Intended for photovoltaic modules Compare modeling between SfM based RGB and TIR Images (SfM 기반 RGB 및 TIR 영상해석을 통한 태양광 모듈 이상징후 정밀위치 검출)

  • Park, Joon-Kyu;Han, Woong-ji;Kwon, Young-Hun;Kang, Joon-Oh;Lee, Yong-Chang
    • Journal of Urban Science
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    • v.8 no.1
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    • pp.7-14
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    • 2019
  • Recently, interest in solar energy, which is the center of new government energy policy, is increasing. However, the focus is on mass production of solar power plants, and policies and related technologies for maintenance and management of existing installed PV modules are insufficient. In this study, we use UAV (Unmanned Aerial Vehicle) to acquire RGB and infrared images, apply it to the structure-from-motion (SfM) based image analysis tool, model the three- And the position of the hot spot was monitored and coordinates were detected. As a result, it is possible to provide basic spatial information for maintenance of solar module by monitoring and position detection of hot-spot suspected solar cells by superimposing infrared image and RGB image based on unmanned aerial vehicle.

Analysis on Optimal Threshold Value for Infrared Video Flame Detection (적외선 영상의 화염 검출을 위한 최적 문턱치 분석)

  • Jeong, Soo-Young;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.8 no.4
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    • pp.100-104
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    • 2013
  • In this paper, we present an optimal threshold setting method for flame detection of infrared thermal image. Conventional infrared flame detection methods used fixed intensity threshold to segment candidate flame regions and further processing is performed to decide correct flame detection. So flame region segmentation step using the threshold is important processing for fire detection algorithm. The threshold should be change in input image depends on camera types and operation conditions. We have analyzed the conventional thresholds composed of fixed-intensity, average, standard deviation, maximum value. Finally, we extracted that the optimal threshold value is more than summation of average and standard deviation, and less than maximum value. it will be enhance flame detection rate than conventional fixed-threshold method.

Characterisation of Tensile Deformation through Infrared Imaging Technique

  • B. Venkataraman, Baldev Raj;Mukhophadyay, C.K.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.6
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    • pp.609-620
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    • 2002
  • It is well known that during tensile testing, a part of the mechanical work done on the specimen is transformed into heat energy. However, the ultimate temperature rise and the rate of temperature rise is related to the nature of the material, conditions of the test and also to the deformation behaviour of the material during loading. The recent advances in infrared sensors and image/data processing techniques enable observation and quantitative analysis of the heat energy dissipated during such tensile tests. In this study, infrared imaging technique has been used to characterise the tensile deformation in AISI type 316 nuclear grade stainless steel. Apart from identifying the different stages during tensile deformation, the technique provided an accurate full-field temperature image by which the point and time of strain localization could be identified. The technique makes it possible to visualise the region of deformation and failure and also predict the exact region of fracture in advance. The effect of thermal gradients on plastic flow in the case of interrupted straining revealed that the interruption of strain and restraining at a lower strain rate not only delays the growth of the temperature gradient, but the temperature rise per unit strain decreases. The technique is a potential NDE tool that can be used for on-line detection of thermal gradients developed during extrusion and metal forming process which can be used for ensuring uniform distribution of plastic strain.

Design and Analysis of Flame Signal Detection with the Combination of UV/IR Sensors (UV/IR센서 결합에 의한 불꽃 영상검출의 설계 및 분석)

  • Kang, Daeseok;Kim, Eunchong;Moon, Piljae;Sin, Wonho;Kang, Min-goo
    • Journal of Internet Computing and Services
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    • v.14 no.2
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    • pp.45-51
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    • 2013
  • In this paper, the combination of ultraviolet and infrared sensors based design for flame signal detection algorithms was proposed with the application of light-wavelength from burning. And, the performance result of image detection was compared by an ultraviolet sensor, an infrared sensor, and the proposed dual-mode sensors(combination of ultraviolet and infrared sensors).

Correlation Analysis between HIVD of L-spine MRI and Digital Infrared Thermal Image (DITI) on the Patients of LBP Who Visit Korean Medicine Hospital (한방병원에 요통, 하지방사통으로 내원한 환자 236명에서 MRI상 추간판 탈출증과 적외선 체열 검사(DITI)와의 연관성 분석)

  • Kim, Gil-Hwan;Kwon, Ok-Jun;Joo, Young-Kuk;Song, Seung-Bae;Kim, Doo-Ri;Choi, Young-Jun;Shin, Soo-Ji
    • Journal of Korean Medicine Rehabilitation
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    • v.27 no.3
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    • pp.107-115
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    • 2017
  • Objectives This study is planned to classify correlation between HIVD of L-spine MRI and Digital Infrared Thermal Image (DITI). Methods We measured the temperature of both leg whose 120 men and 116 women patients with lumbar pain in Bucheon Jaseng Korean Medicine Hospital. And We use Magnetic Resonance Imaging (MRI) for classifying the patients who has lumbar intervertebral disc or not. Results 1) There was no statistical relation between difference of both leg's temperature and gender (p>0.05). 2) There was meaningful statistical relation between difference of both leg's temperature and age (p<0.05). 3) There was meaningful statistical relation between direction of HIVD of L-spine and direction of temperature reduction. 4) There was meaningful statistical relation between the severity of HIVD of L5/S1 and degree of temperature reduction. But there was no statistical relation between the severity of HIVD of L3/4, L4/5 and degree of temperature reduction. Conclusions We can use Digital Infrared thermal image (DITI) on low back pain patients for diagnosis. But we should not use DITI alone. DITI has limit in diagnosis.

Infrared Image Simulation for Estimating the Effectiveness of Camouflage Measures (표적은폐도구의 유용도 평가를 위한 적외선화상 모사)

  • Jung, Jinsoo;Kauh, S. Ken;Yoo, Hoseon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.23 no.8
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    • pp.1010-1021
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    • 1999
  • Camouflage measures in military purpose utilize the apparent temperature difference between target and background, so it is essential to develop a thermal analysis program for apparent temperature predictions and to apply some camouflage measures to real military targets for camouflage purpose. In this study, a thermal analysis program including conduction, convection and radiation is developed and the validity of radiation heat transfer terms is examined. The results show that longwave radiation along with solar radiation should be included in order to predict the apparent temperature as well as the physical temperature precisely. Longwave emissivity variation as an effective camouflage measures is applied to a real M2 tank. From the simulation results, it is found that an effective surface treatment, such as painting of a less emissive material or camouflage clothing, may provide a temperature similarity or a spatial similarity, resulting in an effective camouflage.

The analysis of the Effect the Minute Quantities of Infrared Rays that Were not Filtered by IR Cut-Off Filter has on Digital Images (IR Cut-Off Filter가 차단하지 못한 미량의 적외선이 디지털화상에 미치는 영향 분석)

  • Lee, Yong-Hwan;Park, Se-Won;Hong, Jung-Eui
    • The Journal of the Korea Contents Association
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    • v.11 no.5
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    • pp.205-215
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    • 2011
  • Films are sensitive to ultraviolet rays and in contrast, digital camera sensors are extremely sensitive to infrared rays due to the differences in spectral characteristics. As a result, all digital cameras that use CCD or CMOS are equipped with IR Cut-Off Filter on the overall sensor. Complete block out of infrared rays is ideal, but the actual experiment results showed that infrared rays were not being blocked out completely. Infrared permeability was also different for each camera. Therefore, this study aims to analyze the effect of the minute quantities of infrared rays, which get transmitted due to mechanical properties of IR Cut-Off Filters that are installed on digital cameras, on digital picture images. The results obtained by carrying out a comparative analysis of a UV Filter (infrared transmitting state) and a UV-IR Filter (infrared blocked out state) are as follows. It was confirmed that the minute quantities of infrared rays do affect dynamic range and resolution to some extent, despite the little or no difference in noise and color reproduction.

Deep Learning(CNN) based Worker Detection on Infrared Radiation Image Analysis (딥러닝(CNN)기반 저해상도 IR이미지 분석을 통한 작업자 인식)

  • Oh, Wonsik;Lee, Ugwiyeon;Oh, Jeongseok
    • Journal of the Korean Institute of Gas
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    • v.22 no.6
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    • pp.8-15
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    • 2018
  • worker-centered safety management for hazardous areas in the plant is required. The causes of gas accidents in the past five years are closely related to the behavior of the operator, such as careless handling of the user, careless handling of the suppliers, and intentional, as well as equipment failure and accident of thought. In order to prevent such accidents, real-time monitoring of hazardous areas in the plant is required. However, when installing a camera in a work space for real-time monitoring, problems such as human rights abuse occur. In order to prevent this, an infrared camera with low resolution with low exposure of the operator is used. In real-time monitoring, image analysis is performed using CNN algorithm, not human, to prevent human rights violation.