• Title/Summary/Keyword: Road images

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Research of the Face Extract Algorithm from Road Side Images obtained by vehicle (차량에서 획득된 도로 주변 영상에서의 얼굴 추출 방안 연구)

  • Rhee, Soo-Ahm;Kim, Tae-Jung;Kim, Mun-Gi;Yun, Duck-Ken;Sung, Jung-Gon
    • Proceedings of the KSRS Conference
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    • 2008.03a
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    • pp.20-24
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    • 2008
  • 차량에 부착된 CCD 카메라를 이용하여 취득된 도로 주변의 영상에 존재하는 사람의 얼굴을 추출하여 제거하는 처리를 할 경우, 사생활 침해의 문제 없이 사용자들에게 원하는 지역의 도로영상의 제공이 가능해진다. 이 실험의 목적은 차량에서 취득된 도로 주변의 칼라 영상에서 사람의 얼굴을 자동으로 추출하는 기술을 개발하는데에 있다. 도로 주변의 CCD영상에서의 얼굴 추출을 위해, HSI(색상, 채도, 명도) 칼라 모델과 YCrCb 칼라 모델을 사용하여 이들 모델에 임계값을 적용하여 피부색을 검출하였으며, 두 개의 모델을 사용한 결과 효과적인 피부색의 검출이 가능함을 확인할 수 있었다. 검출된 피부색 영역을 연결성과 밝기 차이를 이용하여 클러스터링을 실행하고 이렇게 나뉘어진 각각의 구역들에 구역의 면적, 구역내 존재하는 화소의 개수, 구역의 가로와 세로 비율 그리고 타원조건을 적용하여 얼굴 후보 구역을 결정하였다. 그리고 최종적으로 남겨진 구역을 이진화 하고, 이진화 된 영상 중 검은 부분이 5% 이상일 때 이들을 눈, 코, 입 등으로 간주하여 최종적인 얼굴로 결정하였다. 실험 결과 추출되지 않은 얼굴과 잘못 추출된 구역이 발생했으나, 얼굴에 해당하는 임계값등의 조건을 약화시킬 경우 대부분의 얼굴의 추출이 가능할 것으로 여겨지며, 추출된 구역을 흐리게 처리할 경우 오인식된 부분에 대한 사용자의 거부감도 줄일 수 있을 것 으로 예상된다.

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Development of a Model Based Predictive Controller for Lane Keeping Assistance System (모델기반 예측 제어기를 이용한 차선유지 보조 시스템 개발)

  • Hwang, Jun-Yeon;Huh, Kun-Soo;Na, Hyuk-Min;Jung, Ho-Gi;Kang, Hyung-Jin;Yoon, Pal-Joo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.3
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    • pp.54-61
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    • 2009
  • Lane keeping assistant system (LKAS) could save thousands of lives each year by maintaining lane position and is regarded as a promising active safety system. The LKAS is expected to reduce the driver workload and to assist the driver during driving. This paper proposes a model based predictive controller for the LKAS which requires cooperative driving between the driver and the assistance system. A Hardware-In-the-Loop-Simulator (HILS) is constructed for its evaluation and includes Carsim, Matlab Simulink and a lane detection algorithm. The single camera is mounted with the HILS to acquire the monitor images and to detect the lane markers. The simulation is conducted to validate the LKAS control performance in various road scenario.

Vision based Traffic Light Detection and Recognition Methods for Daytime LED Traffic Light (비전 기반 주간 LED 교통 신호등 인식 및 신호등 패턴 판단에 관한 연구)

  • Kim, Hyun-Koo;Park, Ju H.;Jung, Ho-Youl
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.3
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    • pp.145-150
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    • 2014
  • This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.

A Study on the Characteristics of Landscape cognition and Image in Deagu City (대도시 경관인지 및 이미지 특성에 관한 연구 -대구시를 중심으로-)

  • Lee, Jung
    • Journal of Environmental Science International
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    • v.11 no.4
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    • pp.271-279
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    • 2002
  • The purpose of this study is to focus on the townscape of Daegu based on the urban characteristics of the landscape cognition and images captured by citizens. The analysis was performed by the data obtained from questionnaires and interviews. This study methods were deals the cognition characteristics, landmark landscape, visual preference landscape, image and satisfaction. The results are summarized as follows: 1. The orders of cognition landscapes were estimated Apple> Weather> Texture> Mt.Palgong> Daegu Tower> Pretty Girl> Mt. Apsan> Dalsung Park> Conservative> Dongsung Road, etc. That is constructed Nonphysical elements(62.0%) and Physical elements(38.0%) 2. The orders of representative landscape(Landmark) in city were estimated Mt.Palgong> Daegu Tower> Gat Rock> Mt.Apsan> Dalsung Park, etc. As a whole middle and old people(over 30gen) preferenced as a history landscape or natural landscape, but youth people(10-20gen) preferenced as visible and interesting artifical places. 3. While the positive attitudes for the image of city were traditional(3.30), intimacy(3.58), and rest(2.90), the negative attitudes were unnewly(2.34), closing(2.37) and narrow(2.40). Also total satisfaction for that was estimated 5.51. 4. Psychological factors, related to the satisfaction of the image of city were composed of four factors, individuality character, pleasure character, amenity character, formation character. And the presumption formula of satisfaction was: Satisfaction = 5.477 + 0.752(Individuality) + 0.470(Pleasure) + 0.413(Amenity) + 0.241(Formation).

Posture Change Recognition System using Visual Information (영상정보에 의한 자세변화 감지 시스템)

  • Jo, Sung-Won;Han, Kyong-Ho
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.291-296
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    • 2010
  • This paper handles, pitching and rolling posture change detection using the visual image changes due to the road slope conditions. When the moving vehicle is slanted to a direction, the objects in the visual images of the vehicle are moving to up or down and right or left. This is similar to the human's balancing behavior depending on the visual image change detection as well as the vestibular organs and semicircular canal in the ear. The proposes method shows the visual image through the camera can be used for the image information itself and for the posture change detection through the experiments.

Analysis of Factors affecting Satisfaction of Street-scape -Focused on the Street of Central Market, Pohang City- (가로경관 만족도의 영향요인 분석 -포항시 중앙상가로변을 중심으로-)

  • Choi, Moo-Hyun;Hyun, Taek-Soo
    • Journal of the Korean Institute of Rural Architecture
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    • v.12 no.1
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    • pp.1-8
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    • 2010
  • The purpose of this study was to explore the factors affecting satisfaction of street-scape. According to this purpose, in chapter 2, by inspecting conservation of street environment and streetscape, deduce the frame for analyzing streetscape in commercial district. In chapter 3, analyzing present condition and problems of selected streets in Pohang City, derive the primary factors to induce desirable streetscape through problems and their reason between the analyzed elements of building form. Analyzed elements are composed pavement of road, street furniture, height of buildings, color and material of building and outdoor advertisements, etc. In chapter 4, by conducting a questionnaire survey of pedestrians about street images and the preference, propose the direction of improvement about streetscape in commercial district. As the study method, level of satisfaction was analyzed using the components of street-scape. The collected data was analyzed through Reliability Analysis, ANOVA, Factor Analysis, Regression Analysis. A regression analysis for deriving main factors affecting the satisfaction level of street-scape showed that signboard, sign color, width of street, paving materials, street furniture, open space were found to be the most important.

A Study on the Urban Fringe Landscape Environment Model -The Analysis of Change in Land Uses of Chonan City using Landsat TM Data- (도농통합지역의 녹지환경정비모델에 관한 연구 I - 위성데이타를 이용한 천안시 토지이용 변화 -)

  • 심우경;이진희;김훈희
    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.3
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    • pp.237-248
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    • 1998
  • Landcover has been largely influenced by human activities, especially in recent days. The analysis of the change of land use by urbanized development is useful for determining development plan hereafter. This study aimed to the quantitative analysis about the urban sprawl within 12 years from 1985 to 1996, at Chonan, and for extracting the characteristics of change. For this purpose, this study performed land cover classifications using Landsat TM data . A hybrid classification method was used to classify satellite images into seven types of land cover. Road network digitied from 1:25,000 topographic map was rasterized and overlaid on the landcover map. A result of this study showed that area of forest and paddy decreased due to urban sprawl. Especially from 1993 to 1996, the change of land use progressed rapidly because of merging a city and a country in Chonan. The size of patch in forest had been smaller and irregular form. It is a general progress that size of patch in forest had been smaller and irregular form. It is a general progress that the forest have changed the paddy and bare land paddy and bare land have changed low-density urban or high-density urban. This explained how urbanized Chonan was and applied the suggeston of plan in landuse with the result of this study.

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A Method for Improving Accuracy of Image Matching Algorithm for Car Navigation System

  • Kim, Jin-Deog;Moon, Hye-Young
    • Journal of information and communication convergence engineering
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    • v.9 no.4
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    • pp.447-451
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    • 2011
  • Recently, various in-vehicle networks have been developed respectively in order to accomplish their own purposes such as CAN and MOST. Especially, the MOST network is usually adapted to provide entertainment service. The car navigation system is also widely used for guiding driving paths to driver. The position for the navigation system is usually acquired by GPS technology. However, the GPS technique has two serious problems. The first is unavailability in urban canyons. The second is inherent positional error rate. The problems have been studied in many literatures. However, the second still leads to incorrect locational information in some area, especially parallel roads. This paper proposes a performance tuning method of image matching algorithm for the car navigation system. The method utilizes images obtained from in-vehicle MOST network and a real-time image matching algorithm which determines the direction of moving vehicle in parallel section of road. In order to accuracy improvement of image matching algorithm, three conditions are applied. The experimental tests show that the proposed system increases the accuracy.

The Study on the Landscape Preference and Characteristics of the Agricultural Aqueduct Bridges (수로교 경관선호도 및 이미지 특성 분석)

  • Joo, Shin-Ha
    • Journal of Korean Society of Rural Planning
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    • v.18 no.3
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    • pp.67-76
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    • 2012
  • The purpose of this study is to analyze the landscape preference and landscape images of the Agricultural Aqueduct Bridges(AAB) by several different criteria. Semantic Differential Scale(SD scale) with landscape adjectives and landscape preference are used to estimate the alternatives of the AAB. The statistic methods such as descriptive analysis, t-test, factor analysis and regression, cluster analysis, are operated. The landscape preference of the alternatives is generally positive, 3.977 out of 7.000. The gate type is the most preferred, but the road-along type is the worst, by the location types. The simple repair type is the worst preferred, but total remodeling is the most, by the repair types. The characteristics of the AAB are analyzed and 4 factors of visual landscape are contracted; interest, orderliness, naturality and spatiality. Cumulative factor loading of these factors is about 65%, which is quite high. The higher and bigger AAB's are preferred, and the advanced finishing materials are also preferred, such as aluminum or wood panels. The long span is also preferred and the high repair cost would be preferred. But in this study, the cost-benefit analysis is not included, so it is recommended to research further, considering the cost variable with the visual factors.

Children's Education Application Design Using AR Technology (AR기술을 활용한 어린이 교육 어플리케이션 디자인)

  • Chung, HaeKyung;Ko, JangHyok
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.4
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    • pp.23-28
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    • 2021
  • Augmented reality is a technique for combining virtual images into real life by showing information of virtual 3D objects on top of a real-world environment (Azuma et al., 2001). This study is an augmented reality-based educational content delivery device that receives user input that selects either a preset object or a photographed object for augmented reality-based training; It includes a three-dimensional design generation unit that generates a stereoscopic model of the augmented reality environment from an object, a three-dimensional view of the scene, a disassembly process of the developing road from a three-dimensional model, and a content control unit provided by the user terminal by generating educational content including a three-dimensional model, a scene chart, a scene, a decomposition process, and a coupling process to build a coupling process from the scene to the three-dimensional model in an augmented reality environment. The next study provides a variety of educational content so that children can use AR technology as well as shapes to improve learning effectiveness. We also believe that studies are needed to quantitatively measure the efficacy of which educational content is more effective when utilizing AR technology.