• Title/Summary/Keyword: Area-based

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Target Object Image Extraction from 3D Space using Stereo Cameras

  • Yoo, Chae-Gon;Jung, Chang-Sung;Hwang, Chi-Jung
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1678-1680
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    • 2002
  • Stereo matching technique is used in many practical fields like satellite image analysis and computer vision. In this paper, we suggest a method to extract a target object image from a complicated background. For example, human face image can be extracted from random background. This method can be applied to computer vision such as security system, dressing simulation by use of extracted human face, 3D modeling, and security system. Many researches about stereo matching have been performed. Conventional approaches can be categorized into area-based and feature-based method. In this paper, we start from area-based method and apply area tracking using scanning window. Coarse depth information is used for area merging process using area searching data. Finally, we produce a target object image.

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Effect of Structural Geometry of Jointed Concrete Pavement on Backcalculation using AREA Method (줄눈콘크리트 포장의 구조적 형상이 AREA법을 이용한 역해석에 미치는 영향)

  • Yoo, Tae-Seok;Sim, Jong-Sung
    • International Journal of Highway Engineering
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    • v.9 no.1 s.31
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    • pp.39-46
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    • 2007
  • Different backcalculation results for the same material properties are caused by different structural geometry. In this paper, based on real simulation results for typical pavement systems using 3-dimensional FE models, modified AREA graphs are proposed to graphically backcalculate modulus of elasticity of slab and subgrade based on center deflection and AREA. In modified graph for single infinity slab models, deflection and AREA are increased in deeper depth to bedrock. But, effects of depth to bedrock more than 4.0 meters on backcalculation results are negligible. And, center deflection and AREA generated from multifinite slab models are larger than those of single infinity slab models with same depth to bedrock.

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A Study on Upper-Class House in North Kyeung-Buk Region (경북북부지역의 상류주택에 관한 조사연구)

  • 백영흠
    • Journal of the Korean housing association
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    • v.5 no.1
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    • pp.59-69
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    • 1994
  • This paper was made to examine floor plan and block plan of traditional upper-class houses in the north Kyeungsangbukdo region with consideration into city and country each. The results of this study were as following; First, Munkyung area is latitudinally located in northern area along with the Yechon and Andong. However, Munkyung area has open plot system while Yechon and Andong has not. It is because even if Munkyung area is located in the western of Nak-Dong river and belongs to the northern region, it has belonged to the cultural area which is developed around Sangju area. Second, Youngduk area belongs to the east-coast but it had frequent cultural exchange and marriage with Andong which is located on the road along with Tae-Baek Mountain. Due to the cultural exchange, their housing type is very similar to those of Andong which is close plot plan of "ㅁ" type. Therefore, even if Youngduk is located in the east-coast area, it should belong to the cultural background of Andong area. Regionally, the culture of Kyongsangbukdo has been divided into northern area, southern area, and east-coast area. But, the findings of this study indicate that the analysis of location and floor plan of housing should not be based on the natural environment oand geographic characteristics. Hence, it should be based on the all aspects of environment, including social and cultural nature to find more reliable and accurate results.e results.

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Conservation Area Designation Method for Natural Environmental Management in a Rural Local Government (자치단체지역의 자연환경관리를 위한 보전지역 설정)

  • Lee, Gwan-Gyu;Sung, Hyun-Chan;Choi, Jaeyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.10 no.5
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    • pp.1-9
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    • 2007
  • Local government with abundant natural resources should consider the nature conservation oriented planning process for the sustainable development. With this regard, the aim of this study is to provide a substantial methodology to support the decision-making process to designate the conservation areas. The objectives of the proposed methodology is to conserve natural resources in the local government's territory through quantitatively assessing the values of the natural resources based on various ecological factors such as topography, flora and fauna. In order to test the usability of the method, Gangneung City in Kangwon-Do is selected considering the latest data availability. Based on the assessment process land use of the subjected city could be categorized into 4 levels of conservative area, conservative level 1 area, conservative level 2 area, and conservative level 3 area. Among them, conservative area and conservative level 1 area could be combined as natural resources conservation area and the others could be regarded as buffer and transitional area. Especially conservation area is surrounded by conservation level 2 area. Conclusively, the GIS methods adopted in this could be the efficient illustrative tool to assess the local natural resource values with the central government established nature-environmental information systems.

The Architecture of the Vision-based Monitoring system for Urban Transit Visual (영상기반 도시철도 모니터링 시스템 구축방안 연구)

  • An, Tae-Ki
    • Proceedings of the KIEE Conference
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    • 2007.10c
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    • pp.229-231
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    • 2007
  • The CCTV, closed circuit television, system is the most popular method to monitor some specific area. The CCTV-based monitoring system is composed of a lot of cameras installed the areas, and monitors to display the vision through the cameras. However, these systems have limitations to prevent some problems or to cope with the problems promptly, because they can carry out only the function that shows us the analogue images of the cameras. Especially, urban transit service area is the space where many people crowd in all at the same time and the space is not only wide but also distributed sporadically. This paper presents the efficient plan for video-based monitoring system to monitor urban transit service area. To build the efficient monitoring system, it is necessary to devide the monitoring area to appropriate sectors that should be composed to be displayed at a time. If the proposed method is used to construct the video-based monitoring system, the operating officers in the urban transit have the more direct and real images.

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Intensity Gradients-based Stereo Matching of Road Images (에지정보를 이용한 도로영상의 스테레오 정합)

  • 이기용;이준웅
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.1
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    • pp.201-210
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    • 2003
  • In this paper, we propose a new binocular stereo correspondence method by maximizing a fitness formulated by integrating two constraints of edge similarity and disparity smoothness simultaneously. The proposed stereopsis focusing to measure distances to leading vehicles on roads uses intensity gradients as matching attribute. In contrast to the previous work of area-based stereo matching, in which matching unit is a pixel, the matching unit of the proposed method becomes an area itself which is obtained by selecting a series of pixels enclosed by two pixels on the left and right boundaries of an object. This approach allows us to cope with real-time processing and to avoid window size selection problems arising from conventional area-based stereo.

The Hidden Object Searching Method for Distributed Autonomous Robotic Systems

  • Yoon, Han-Ul;Lee, Dong-Hoon;Sim, Kwee-Bo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1044-1047
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    • 2005
  • In this paper, we present the strategy of object search for distributed autonomous robotic systems (DARS). The DARS are the systems that consist of multiple autonomous robotic agents to whom required functions are distributed. For instance, the agents should recognize their surrounding at where they are located and generate some rules to act upon by themselves. In this paper, we introduce the strategy for multiple DARS robots to search a hidden object at the unknown area. First, we present an area-based action making process to determine the direction change of the robots during their maneuvers. Second, we also present Q learning adaptation to enhance the area-based action making process. Third, we introduce the coordinate system to represent a robot's current location. In the end of this paper, we show experimental results using hexagon-based Q learning to find the hidden object.

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Model- Data Based Small Area Estimation

  • Shin, Key-Il;Lee, Sang Eun
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.637-645
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    • 2003
  • Small area estimation had been studied using data-based methods such as Direct, Indirect, Synthetic methods. However recently, model-based such as based on regression or time series estimation methods are applied to the study. In this paper we investigate a model-data based small area estimation which takes into account the spatial relation among the areas. The Economic Active Population Survey in 2001 are used for analysis and the results from the model based and model-data based estimation are compared with using MSE(Mean squared error), MAE(Mean absolute error) and MB(Mean bias).

Hexagon-Based Q-Learning Algorithm and Applications

  • Yang, Hyun-Chang;Kim, Ho-Duck;Yoon, Han-Ul;Jang, In-Hun;Sim, Kwee-Bo
    • International Journal of Control, Automation, and Systems
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    • v.5 no.5
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    • pp.570-576
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    • 2007
  • This paper presents a hexagon-based Q-leaning algorithm to find a hidden targer object with multiple robots. An experimental environment was designed with five small mobile robots, obstacles, and a target object. Robots went in search of a target object while navigating in a hallway where obstacles were strategically placed. This experiment employed two control algorithms: an area-based action making (ABAM) process to determine the next action of the robots and hexagon-based Q-learning to enhance the area-based action making process.

Adaptive Zoom Motion Estimation Method (적응적 신축 움직임 추정 방법)

  • Jang, Won-Seok;Kwon, Oh-Jun;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.915-922
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    • 2014
  • We propose an adaptive zoom motion estimation method where a picture is divided into two areas based on the distance information with a depth camera : the one is object area and the other is background area. In the proposed method, the zoom motion is only applied to the object area except the background area. Further, the block size of motion estimation for the object area is set to smaller than that of background area. This adaptive zoom motion estimation method can be reduced at the complexity of motion estimation and can be improved at the motion estimation performance by reducing the block size of the object area in comparison with the conventional zoom motion estimation method. Based on the simulation results, the proposed method is compared with the conventional methods in terms of motion estimation accuracy and computational complexity.