• 제목/요약/키워드: Initial position detection

검색결과 65건 처리시간 0.028초

AN IMAGE SEGMENTATION LEVEL SET METHOD FOR BUILDING DETECTION

  • Konstantinos, Karantzalos;Demetre, Argialas
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.610-614
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    • 2006
  • In this paper the advanced method of geodesic active contours was developed for the task of building detection from aerial and satellite images. Automatic extraction of man-made structures including buildings, building blocks or roads from remote sensing data is useful for land use mapping, scene understanding, robotic navigation, image retrieval, surveillance, emergency management procedures, cadastral etc. A level set method based on a region-driven segmentation model was implemented with which building boundaries were detected, through this curve propagation technique. The essence of this approach is to optimize the position and the geometric form of the curve by measuring information along that curve, and within the regions that compose the image partition. To this end, one can consider uniform intensities inside objects and the background. Thus, given an initial position of the curve, one can determine global, region-driven functions and provide a statistical description of the inside and outside object area. The calculus of variations and a gradient descent method was used to optimize the variational functional by an iterative steady state process. Experimental results demonstrate the potential of the proposed processing scheme.

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AdaBoost 알고리즘을 이용한 실시간 얼굴 검출 및 추적 (Real-Time Face Detection and Tracking Using the AdaBoost Algorithm)

  • 이우주;김진철;이배호
    • 한국멀티미디어학회논문지
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    • 제9권10호
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    • pp.1266-1275
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    • 2006
  • 본 논문은 AdaBoost(Adaptive Boosting)알고리즘을 이용한 실시간 얼굴 검출 및 추적에 패한 기법을 제안한다. 얼굴 검출은 8종류의 간단한 웨이블릿 특징 모형을 이용한다. 각각의 특징들은 $20{\times}20$의 훈련 영상에서 다양한 크기와 위치로 배치되어 초기의 특징 집합을 구성한다. 초기의 특징 집합과 훈련 영상은 AdaBoost알고리즘의 입력으로 사용된다. AdaBoost알고리즘의 기본원리는 약한 분류기를 선형적으로 결합하여 최종적으로는 계층적 구조를 갖는 강한 분류기론 생성하는 것이다. 본 논문에서는 AdaBoost알고리즘에서 훈련 영상과 초기의 특징 집합 간에 이루어지는 반복적 계산량을 줄이기 위해 SAT(Summed-Area Table) 기법을 이용하였다. 얼굴 추적은 Pan-Tilt카메라를 통해 동적으로 가시 영역을 확장해 가면서 검출된 영역의 위치와 크기정보를 이용하여 실시간으로 이루어진다. 검출된 얼굴 영역의 중심을 전체 영상의 중심으로 이동하는 방법을 사용하였다. 실험결과 92.5%의 얼굴 검출율과 평균 12프레임의 얼굴 추적속도를 얻었다.

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인덕턴스의 변화를 이용한 브러시리스 DC 모터의 초기 구동 알고리즘 개발 및 구현 (Development of the Starting Algorithm of a Brushless DC Motor Using the Inductance Variation)

  • 박재현;장정환;장건희
    • 한국정밀공학회지
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    • 제17권8호
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    • pp.157-164
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    • 2000
  • This paper presents a method to detect a rotor position and to drive a BLDC motor from standstill to medium speed without any position sensor comparing the current responses due to the inductance variation in the rotor position. A rotor position at a standstill is identified by the current responses of six pulses injected to each phase of a motor. Once the motor stars up pulse train that is composed of long and short pulses is injected to the phase corresponding to produce the maximum torque and the next phase continuously. it provides not only the torque but also the information of the next commutation time effectively when the response of long and short pulses crosses each other after the same time delay. This method which is verified experimentally using a DSP can drive a BLDC motor to the medium speed smoothly without any rattling and time delay compared with the conventional sensorless algorithm.

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자동차 연료 펌프용 BLDC 모터의 센서리스 기동 및 연료 압력 제어 (Sensorless Starting Method and Fuel Pressure Control of BLDC Motor for Fuel Pump of Vehicle)

  • 장진욱;윤덕용
    • 한국자동차공학회논문집
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    • 제21권2호
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    • pp.114-121
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    • 2013
  • High efficiency operation is required for motors of vehicle to increase fuel efficiency due to the regulation of exhaust gas. This paper presents a control method of fuel pressure to increase fuel efficiency and a sensorless control method of BLDC motor to get higher efficiency than conventional brushed DC motor. Initial rotor position of BLDC motor is detected from current value that is occurred by test voltage pulse and rotor is accelerated by defined sequence to enter sensorless operation mode. The algorithm to control flow rate of fuel pump uses PI controller that is control motor speed to maintain the target fuel pressure commanded by ECU.

Efficient Generation of Spatiotemporal Images for Leukocyte Motion Detection in Microvessels

  • Kim, Eung Kyeu;Jang, Byunghyun
    • IEIE Transactions on Smart Processing and Computing
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    • 제6권2호
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    • pp.76-84
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    • 2017
  • This paper presents an efficient method for generating spatiotemporal images in order to detect leukocyte motion in microvessels. Leveraging the constraint that leukocytes move along the contour line of the blood vessel wall, our proposed method efficiently generates spatiotemporal images for leukocyte motion detection. To that end, translational motion caused by in vivo movement is first removed by a template matching method. Second, the blood vessel region is detected by an automatic threshold selection method in order to binarize temporal variance images. Then, the contour of the blood vessel wall is expressed via B-spline function. Finally, using the detected blood vessel wall's contour as an initial curve, the plasma layer for the most accurate position is determined in order to find the spatial axis via snake, and the spatiotemporal images are generated. Experimental results show that the spatiotemporal images are generated effectively through comparison of each step with three images.

고정밀 머신 비전을 위한 정확한 PCB 윤곽선과 코너 검출 (Accurate PCB Outline Extraction and Corner Detection for High Precision Machine Vision)

  • 고동민;최강선
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.53-58
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    • 2017
  • Recently, advance in technology have increased the importance of visual inspection in semiconductor inspection areas. In PCB visual inspection, accurate line estimation is critical to the accuracy of the entire process, since it is utilized in preprocessing steps such as calibration and alignment. We propose a line estimation method that is differently weighted for the line candidates using a histogram of gradient information, when the position of the initial approximate corner points is known. Using the obtained line equation of the outline, corner points can be calculated accurately. The proposed method is compared with the existing method in terms of the accuracy of the detected corner points. The proposed method accurately detects corner points even when the existing method fails. For high-resolution frames of 3.5mega-pixels, the proposed method is performed in 89.01ms.

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자동차 안전운전 보조 시스템에 응용할 수 있는 카메라 캘리브레이션 방법 (Camera Calibration Method for an Automotive Safety Driving System)

  • 박종섭;김기석;노수장;조재수
    • 제어로봇시스템학회논문지
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    • 제21권7호
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    • pp.621-626
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    • 2015
  • This paper presents a camera calibration method in order to estimate the lane detection and inter-vehicle distance estimation system for an automotive safety driving system. In order to implement the lane detection and vision-based inter-vehicle distance estimation to the embedded navigations or black box systems, it is necessary to consider the computation time and algorithm complexity. The process of camera calibration estimates the horizon, the position of the car's hood and the lane width for extraction of region of interest (ROI) from input image sequences. The precision of the calibration method is very important to the lane detection and inter-vehicle distance estimation. The proposed calibration method consists of three main steps: 1) horizon area determination; 2) estimation of the car's hood area; and 3) estimation of initial lane width. Various experimental results show the effectiveness of the proposed method.

Crack detection study for hydraulic concrete using PPP-BOTDA

  • Huang, Xiaofei;Yang, Meng;Feng, Longlong;Gu, Hao;Su, Huaizhi;Cui, Xinbo;Cao, Wenhan
    • Smart Structures and Systems
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    • 제20권1호
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    • pp.75-83
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    • 2017
  • Effectively monitoring the concrete cracks is an urgent question to be solved in the structural safety monitoring while cracks in hydraulic concrete structures are ubiquitous. In this paper, two experiments are designed based on the measuring principle of Pulse-Pre pump Brillouin Optical Time Domain Analysis (PPP-BOTDA) utilizing Brillouin optical fiber sensor to monitor concrete cracks. More specifically, "V" shaped optical fiber sensor is proposed to determine the position of the initial crack and the experiment illustrates that the concrete crack position can be located by the mutation position of optical fiber strain. Further, Brillouin distributed optical fiber sensor and preinstall cracks are set at different angles and loads until the optical fiber is fractured. Through the monitoring data, it can be concluded that the variation law of optical fiber strain can basically reflect the propagation trend of the cracks in hydraulic concrete structures.

가스터빈 기동장치 센서리스 속도제어로직 성능실험 (Performance Test of Sensorless Speed Control Logic for Gas Turbine Starter)

  • 류호선;문주영;이의택;이주현;강윤모;박만기
    • 전기학회논문지P
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    • 제66권2호
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    • pp.69-75
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    • 2017
  • The gas turbine static starter rotates the stationary synchronous machine by the interaction of the rotor and the stator. The detection from the initial position of the rotor has been an important issue to drive with optimum torque. Previously, the gas turbine starter was used by attaching the encoder to the synchronous machine, but the position and velocity of the rotor have been estimated by sensor-less method until recently due to the difficulty in attaching and detaching and damage caused by the shaft voltage noise. In this paper, Rotor initial(stationary state) position estimation, forced commutation control(speed less than 10%), and natural commutation control(speed more than 10%) method using magnetic flux with integrated terminal voltage were presented and the sensor-less speed control performance was verified. As a result of making and evaluating the 29 kVA synchronous machine and the starting device, the performance of each control mode was satisfactory. Furthermore, the applied technology is expected to be used for the development of the gas turbine starter of tens of MW class and the field application.

한국어 화자의 영어 양순음 /b/와 순치음 /v/ 식별에서 시각 단서의 효과 (The Effect of Visual Cues in the Identification of the English Consonants /b/ and /v/ by Native Korean Speakers)

  • 김윤현;고성룡
    • 말소리와 음성과학
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    • 제4권3호
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    • pp.25-30
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    • 2012
  • This study investigated whether native Korean listeners could use visual cues for the identification of the English consonants /b/ and /v/. Both auditory and audiovisual tokens of word minimal pairs in which the target phonemes were located in word-initial or word-medial position were used. Participants were instructed to decide which consonant they heard in $2{\times}2$ conditions: cue (audio-only, audiovisual) and location (word-initial, word-medial). Mean identification scores were significantly higher for audiovisual than audio-only condition and for word-initial than word-medial condition. Also, according to signal detection theory, sensitivity, d', and response bias, c were calculated based on both hit rates and false alarm rates. The measures showed that the higher identification rate in the audiovisual condition was related with an increase in sensitivity. There were no significant differences in response bias measures across conditions. This result suggests that native Korean speakers can use visual cues while identifying confusing non-native phonemic contrasts. Visual cues can enhance non-native speech perception.