• 방송공학회논문지
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• 제20권3호
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• pp.421-429
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• 2015

이 논문은 적외선 영상을 이용하여 보행자를 검출하고 추적하는 방법에 관한 것이다. 영상기반 보행 검출 및 추적 처리 속도를 개선하기 위하여 병렬처리언어인 CUDA(Computer Unified Device Architecture)를 활용한다. 보행자 검출은 하르 유사 특징을 기반으로 Adaboost 알고리즘을 적용한다. Adaboost 분류는 적외선 영상으로 제작한 데이터셋을 이용하여 훈련한다. Adaboost 분류기로 보행자를 검출한 후, HSV 히스토그램을 특징점으로 파티클 필터를 이용하여 보행자를 추적하는 방법을 제안한다. 제안하는 검출 및 추적 방법을 Linux 환경에서 소프트웨어를 개발할 수 있는 NVIDIA의 Jetson TK1 개발보드 상에 구현하였다. 이 논문에서는 보행자 검출 및 추적을 CUDA 개발환경인 GPU를 이용하여 병렬처리한 결과를 나타내었다. GPU를 이용한 보행자 검출과 추적 처리 속도가 CPU 처리속도에 비하여 약 6 배 빠른 것을 확인할 수 있다.

• 한국정보통신학회논문지
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• 제23권4호
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• pp.445-452
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• 2019

오늘날 해양 업계에서 활용되는 대부분의 탐지 시스템은 고출력의 X-Band 대역을 활용한 장비들이 대다수이다. 이러한 X-Band 대역의 주파수를 활용하는 대부분의 탐지 시스템들은 광범위한 탐지 성능 이득을 기대할 수 있지만, 장비의 특성상 크고 무거우며 정밀한 탐지를 요하는 분야에서는 적합하지 않다는 한계점을 지닌다. 본 논문에서는 Ku-Band 대역 중 17GHz 주파수 대역에서 2W 미만의 저출력으로 주변의 물표뿐만 아니라 바다의 파랑까지 탐지가 가능한 Electronic Scanner를 설계 및 제작하고, 시험을 진행하였다. 저전력에서도 충분한 탐지성능을 확보하기 위하여 고성능의 패치 어레이 안테나 및 도플러 효과를 활용하여 충분한 탐지 성능을 확보하였으며, 이에 대한 시험 결과 충분한 가능성을 확인할 수 있었다.

• Journal of Multimedia Information System
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• 제6권4호
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• pp.203-208
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• 2019

Fast operation of a CNN based object detection is important in many application areas. It is an efficient approach to reduce the size of an input image. However, it is difficult to find an area that includes a target object with minimal computation. This paper proposes a ROI detection method that is fast and robust to noise. The proposed method is not affected by a flicker line noise that is a kind of aliasing between camera and LED light. Fast operation is achieved by using down-sampling efficiently. The accuracy of the proposed ROI detection method is 92.5% and the operation time for a frame with a resolution of 640 × 360 is 0.388msec.

• 센서학회지
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• 제21권1호
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• pp.28-33
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• 2012

The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

• Journal of information and communication convergence engineering
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• 제11권3호
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• pp.199-206
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• 2013

An emergency monitoring system for the elderly, which uses acceleration data measured with an accelerometer, angular velocity data measured with a gyroscope, and heart rate measured with an electrocardiogram, is proposed. The proposed fall detection algorithm uses multiple parameter combinations in which all parameters, calculated using tri-axial accelerations and bi-axial angular velocities, are above a certain threshold within a time period. Further, we propose an emergency detection algorithm that monitors the movements of the fallen elderly person, after a fall is detected. The results show that the proposed algorithms can distinguish various types of falls from activities of daily living with 100% sensitivity and 98.75% specificity. In addition, when falls are detected, the emergency detection rate is 100%. This suggests that the presented fall and emergency detection method provides an effective automatic fall detection and emergency alarm system. The proposed algorithms are simple enough to be implemented into an embedded system such as 8051-based microcontroller with 128 kbyte ROM.

• ETRI Journal
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• 제35권3호
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• pp.371-377
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• 2013

An effective signal detection algorithm with low complexity is presented for multiple-input multiple-output orthogonal frequency division multiplexing systems. The proposed technique, QR-MLD, combines the conventional maximum likelihood detection (MLD) algorithm and the QR algorithm, resulting in much lower complexity compared to MLD. The proposed technique is compared with a similar algorithm, showing that the complexity of the proposed technique with T=1 is a 95% improvement over that of MLD, at the expense of about a 2-dB signal-to-noise-ratio (SNR) degradation for a bit error rate (BER) of $10^{-3}$. Additionally, with T=2, the proposed technique reduces the complexity by 73% for multiplications and 80% for additions and enhances the SNR performance about 1 dB for a BER of $10^{-3}$.

• 전기학회논문지
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• 제66권9호
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• pp.1416-1423
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• 2017

Lane detection technology is one of the most important issues on car safety and self-driving capability of autonomous vehicle. This paper introduces an accurate lane detection scheme based on OCC(Optical Camera Communication) for moving vehicles. For lane detection of moving vehicles, the streetlights and the front camera of the vehicle were used for a transmitter and a receiver, respectively. Based on the angle information of multiple streetlights in a captured image, the distance from sidewalk can be calculated using non-linear regression analysis. Simulation results show that the proposed scheme shows robust performance of accurate lane detection.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.284-286
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• 2012

There has been increasing attention about the prevention and counter-measure of disasters. Particularly, for the case of fire disaster, early detection reduces the damage caused by fire significantly and effective detection method is important. Since most existing detectors need to be located at a close distance to fire, analyzing camera images to find fire becomes active research topic. In this paper, we analyze the color characteristics of fire images in various color spaces and report the experimental detection results. The best result is 77.8% success rate in YIQ space.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.1541-1542
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• 2008

In this paper, we introduce a live wire power transmission line fault detection system using time-frequency domain reflectometry(TFDR). The TFDR is known that is more precise method than the other conventional ones. However, the TFDR is generally adopted only in fault detection for communication cable, and dead line power transmission line. Therefore, this paper suggests a TFDR system with coupler which separates 220V, 60Hz signal and TFDR reference signal for implementation the live wire fault detection system. This approach is verified by circuit simulation.

• 제어로봇시스템학회논문지
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• 제22권8호
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• pp.619-626
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• 2016

This paper proposes the design and performance evaluation of a marine engine fault detection system using a proximity sensor for marine engine. Non-linearity is greatly reduced by using the sensor without increasing the response time by applying the CANopen protocol. The CANopen protocol enables the sensor to send initial values and measurement data. The marine engine fault detection system measures crankshaft deflection and the bottom dead center of the crosshead in real-time, which maintains stability and prevents the serious breakdown of the marine engine by use of an interlocking alarm monitoring system.