• 제목/요약/키워드: candidates

검색결과 3,235건 처리시간 0.03초

차량용 신호등의 형태적 특징과 연속 영상내의 위치 정보를 이용한 신호등 검출 (Traffic Light Detection Using Morphometric Characteristics and Location Information in Consecutive Images)

  • 조평근;이준웅
    • 제어로봇시스템학회논문지
    • /
    • 제21권12호
    • /
    • pp.1122-1129
    • /
    • 2015
  • This paper suggests a method of detecting traffic lights for vehicles by combining the HSV(hue saturation value) color model, morphometric characteristics, and location information appearing on consecutive images in daytime. In order to detect the traffic light, the color corresponding to the signal lights should be explored. It is difficult to detect traffic lights among colors of lights from buildings, taillight of cars, leaves, placards, etc. The proposed algorithm searches for the traffic lights from many candidates using morphometric characteristics and location information in consecutive images. The recognition process is divided into three steps. The first step is to detect candidates after converting RGB channel into HSV color model. The second step is to extract the boundaries between the housing of traffic lights and background by exploiting the assumption that the housing has lower brightness than the surrounding background. The last step is to recognize the signal light after eliminating the false candidates using morphometric characteristics and location information appearing on consecutive images. This paper demonstrates successful detection results of traffic lights from various images captured on the city roads.

New candidates of 1 < z < 2 galaxy clusters in 13.6 $deg^2$ of ELAIS-N1/N2 fields with a new colour-colour selection technique

  • Hyun, Minhee;Im, Myungshin;Kim, Jae-Woo;Lee, Seong-Kook
    • 천문학회보
    • /
    • 제38권2호
    • /
    • pp.50.2-50.2
    • /
    • 2013
  • Galaxy clusters, the largest gravitationally bound systems, are an important means to place constraints on cosmological models. Moreover, they are excellent places to test galaxy evolution models in connection to the environments. To this day, massive clusters have been found unexpectedly at high redshfit (Kang & Im 2009, Durret et al. 2011, Tashikawa et al. 2012), and evolution of galaxies in cluster has not been fully understood. Finding galaxy cluster candidates at z > 1 in wide, deep imaging survey data will enable us to solve such issues of modern extragalactic astronomy. We report new candidates of galaxy clusters in the wide and deep survey fields, European Large Area ISO Survey North1(ELAIS-N1) and North2(ELAIS-N2) fields, covering sky area of $8.75deg^2$ and $4.85deg^2$ each. We also suggest a new useful colour-colour selection technique to separate 1 < z < 2 galaxies from low-z galaxies by combining multi-wavelength data from the UKIRT Infrared Deep Sky Survey Deep Extragalactic Survey (UKIDSS DXS, JK bands), Spitzer Wise-area InfraRed Extragalactic survey (SWIRE, Optical-Infrared bands), Canada France Hawaii Telescope (CFHT, z band) and Infrared Medium-deep Survey(IMS, J band).

  • PDF

DFSS/C에서 CTQ 후보의 체계적인 도출: 방법론 개발 및 사례 연구 (A Systematic Generation of CTQ Candidates in DFSS/C: Methodology Development and A Case Study)

  • 김광재;민대기;김덕환;최봉;이팔훈;이승현
    • 한국경영과학회:학술대회논문집
    • /
    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
    • /
    • pp.574-578
    • /
    • 2005
  • The project objectives, called critical-to-quality (CTQs) in six sigma, should be defined to faithfully reflect the customer requirements. The identification of such a set of CTQs, which is currently done using brainstorming in practice, is a challenging task. Notwithstanding the rapid growth of the six sigma literature, development of a systematic procedure for identifying CTQs has scarcely been addressed. This paper proposes a systematic method for generating CTQ candidates based on the given voice of the customer in the DFSS/C (Design for Six Sigma / Commercial) context. By providing a step-by-step procedure, the proposed method ensures that all the important CTQ candidates are identified and subjective judgments are minimally required. Hence, the shortcomings associated with the existing practice based on brainstorming can be effectively overcome. The unique characteristics of the proposed method are also demonstrated via a case study.

  • PDF

계층적 분석 과정을 이용한 다중 속성의 금융통장 인식용 광학 필터의 최적 설계 (Optimal Design of Optical Filter Recognizing Financial Account with Multiple Attribute Using Analytic Hierarchy Process)

  • 유형근;이강원
    • 한국전기전자재료학회논문지
    • /
    • 제27권6호
    • /
    • pp.407-416
    • /
    • 2014
  • Five factors are identified, which affect the performance of optical filter: 1) type of optical glass, 2) existence of Fe, 3) photo pic coating type, 4) coating form, and 5) coating thickness. If we consider all the levels of five factors, there are 360 possible candidates. We determined five evaluation criteria, which can be used to evaluate possible candidates. For the performance measures we selected white-state avearge voltage, black-state average voltage, and black-state error rate. And we added economic criterion and quality and maintenance criterion. Through the two-step statistical analysis of white-state avearge voltage, black-state average voltage, and black-state error rates, we selected final four candidates. Based on the five criteria we finally determined optimal optical filter using AHP.

Multi-spectral Vehicle Detection based on Convolutional Neural Network

  • Choi, Sungil;Kim, Seungryong;Park, Kihong;Sohn, Kwanghoon
    • 한국멀티미디어학회논문지
    • /
    • 제19권12호
    • /
    • pp.1909-1918
    • /
    • 2016
  • This paper presents a unified framework for joint Convolutional Neural Network (CNN) based vehicle detection by leveraging multi-spectral image pairs. With the observation that under challenging environments such as night vision and limited light source, vehicle detection in a single color image can be more tractable by using additional far-infrared (FIR) image, we design joint CNN architecture for both RGB and FIR image pairs. We assume that a score map from joint CNN applied to overall image can be considered as confidence of vehicle existence. To deal with various scale ratios of vehicle candidates, multi-scale images are first generated scaling an image according to possible scale ratio of vehicles. The vehicle candidates are then detected on local maximal on each score maps. The generation of overlapped candidates is prevented with non-maximal suppression on multi-scale score maps. The experimental results show that our framework have superior performance than conventional methods with a joint framework of multi-spectral image pairs reducing false positive generated by conventional vehicle detection framework using only single color image.

RGB-D 이미지에서 인체 영역 검출을 위한 프레임워크 (A Framework for Human Body Parts Detection in RGB-D Image)

  • 홍성진;김명규
    • 한국멀티미디어학회논문지
    • /
    • 제19권12호
    • /
    • pp.1927-1935
    • /
    • 2016
  • This paper propose a framework for human body parts in RGB-D image. We conduct tasks of obtaining person area, finding candidate areas and local detection in order to detect hand, foot and head which have features of long accumulative geodesic distance. A person area is obtained with background subtraction and noise removal by using depth image which is robust to illumination change. Finding candidate areas performs construction of graph model which allows us to measure accumulative geodesic distance for the candidates. Instead of raw depth map, our approach constructs graph model with segmented regions by quadtree structure to improve searching time for the candidates. Local detection uses HOG based SVM for each parts, and head is detected for the first time. To minimize false detections for hand and foot parts, the candidates are classified with upper or lower body using the head position and properties of geodesic distance. Then, detect hand and foot with the local detectors. We evaluate our algorithm with datasets collected Kinect v2 sensor, and our approach shows good performance for head, hand and foot detection.

가변길이 그램의 역리스트 생성을 이용한 효율적인 유사 문자열 검색 기법 (An Efficient String Similarity Search Technique based on Generating Inverted Lists of Variable-Length Grams)

  • 김종익
    • 정보과학회 논문지
    • /
    • 제43권11호
    • /
    • pp.1275-1280
    • /
    • 2016
  • 유사 문자열 검색을 위해 기존의 기법들은 우선 후보 문자열 집합을 생성한 후에 후보 문자열을 검증하는 방법을 사용한다. 이때, 유사 문자열 검색의 성능을 결정짓는 가장 중요한 요소는 후보 생성 방법이다. 기존의 기법들은 질의 문자열로부터 고정길이 q-그램들을 선택하고, 선택된 q-그램에 해당하는 역리스트를 이용해 후보 문자열을 생성한다. 본 논문에서는 질의 문자열 내의 가변길이 그램들을 사용하여 후보 문자열을 생성할 수 있는 기법과 질의 문자열로부터 최적의 가변길이 그램들의 조합을 선택하는 동적 프로그래밍 알고리즘을 제안한다. 실험을 통해 제안하는 기법이 기존의 기법들 보다 유사 문자열 검색의 성능을 향상시킴을 보인다.

생물정보를 이용하여 바실러스 서브틸리스에서 새로운 Small RNA를 예측하는 방법 (Searching Method for New Small RNA in Bacillus subtilis Using Bioinformation)

  • 이상수
    • 자연과학논문집
    • /
    • 제18권1호
    • /
    • pp.47-53
    • /
    • 2007
  • 바실러스 서브틸리스 유전체에서 여러 환경의 적응에 이용할 것으로 보이는 새로운 small RNA를 찾는 시도로 다음과 같은 방식으로 유전체를 검색하였다. 첫째로 유전자들 사이에 존재하는 DNA 서열을 대상으로 전사인자들인 PerR, OhrR, Fur, Zur의 인식서열을 조사하였고, 둘째로 인자 비의존성 전사종결 부위를 조사하였다. 이들 조사에서 전사인자의 위치와 전사종결부위가 300 bp 내외에서 가까이 존재하는 후보 DNA 서열을 대상으로 전사인자 부위에서 전사촉진자의 서열이 발견되는지를 조사하였다. 이 결과 PerR 5개, Fur 2개, OhrR, Zur에서 각각 1개의 새로운 small RNA로 추정되는 부위가 발견되었다.

  • PDF

부산지역 해양수산 IT융합 인적자원개발에 관한 연구 (A Study on the Human Resources Development with the IT Combined Ability in the Field of Fisheries and Oceans in Busan)

  • 장영수;박종운;송정헌;최성욱
    • 수산해양교육연구
    • /
    • 제23권2호
    • /
    • pp.244-252
    • /
    • 2011
  • This study was carried out through survey based on job candidates of marine-bio, marine logistics, and GIS in order to train the human resources with the IT combined ability in the field of fisheries and oceans in Busan. Also, it included the survey on the field of the human resource development which businesses require in Busan. The analysis showed that food industry was most preferred by job candidates and the most required efforts for self-development to employ was to improve their English skills. The most preferred area was Busan and their salary requirements were in the 25 million to 30 million Won range. In findings on survey of businesses, businesses showed a profound interest in HACCP qualification in sea food and logitics manager qualification, and thought that the abilities that job candidates must have were communication and creativity rather than major and skills.

A Progress Report on the MMT/Hectospec Observation for M81 Fields

  • Sohn, Jubee;Ko, Youkyung;Lim, Sungsoon;Jang, In Sung;Lee, Myung Gyoon;Hwang, Narae;Kim, Sang Chul;Park, Hong Soo
    • 천문학회보
    • /
    • 제39권2호
    • /
    • pp.53.1-53.1
    • /
    • 2014
  • The M81 group is a nearby galaxy group hosted by M81, a twin galaxy of Milky Way. This galaxy group is considered as an ideal laboratory for near-field cosmology to understand mass assembly and evolution of galaxies in the group environment. We designed a project to investigate spectroscopic properties of globular cluster candidates in this group. We obtained spectra of globular cluster candidates using the MMT/Hectospec as a part of the K-GMT Science Program. Our main targets include globular cluster candidates of the M81 group member galaxies and those wandering in the intragroup region. We also observed supernova remnants and some background galaxies. Observing fields covered about 2 square degrees including three main galaxies of the M81 group. Using these spectra, we will identify globular clusters in the M81 group, and investigate their properties including age and metallicity. We will discuss the MMT/Hectospec data reduction processes, and future plan for this project.

  • PDF