• Title/Summary/Keyword: Variation Object

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An Adaptive Web Caching Method based on the Heterogeneity of Web Object (웹 객체 이질성 기반의 적응형 웹캐싱 기법)

  • Ko, Il-Suk;Na, Yun-Ji;Leem, Chun-Seong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1379-1382
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    • 2004
  • The use of a cache for storing and processing of Web objects is becoming larger. Also, many studies on the efficient management of the storing scope of caches are being done. Web caching algorithms have many differences from traditional algorithms. Particularly, heterogeneity of Web objects that are processing units of Web caching, and a variation of Web object reference characteristic with time are the important causes of the decrease the performance of existing algorithms. In this study, we proposed the new web-caching algorithm. A heterogeneity variation of an object can be reduced as the proposed method dividedly managing Web objects and a cache scope with heterogeneity, and it is adaptively reflecting a variation of object reference characteristics with the flowing of time. In the experiments, we verified that the performance of the proposed method was more improved than existing algorithms through the two experiment models which considered heterogeneity of an object.

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A method of describing and retrieving a sequence of moving object using Shape Variation Map (모양 변화 축적도를 이용한 움직이는 객체의 표현 및 검색 방법)

  • Choi, Min-Seok;Kim, Whoi-Yul
    • The KIPS Transactions:PartB
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    • v.11B no.1
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    • pp.1-6
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    • 2004
  • Motion Information in a video clip often plays an important role in characterizing the content of the clip. A number of methods have been developed to analyze and retrieve video contents using motion information. However, most of these methods focused more on the analysis of direction or trajectory of motion but less on the analysis of the movement of an object. In this paper, we introduce the shape variation descriptor for describing shape variation caused by object movement along time, and propose a method to describe and retrieve the shape variation of the object using shape variation map. The experimental results shows that the proposed method performed much better than the previous method by l1% and is very effective for describing the shape variation which is applicable to semantic retrieval applications.

A Study on the Shape Evaluation using Non-contact Electromagnetic Measurement System (비접촉식 전자기 측정 시스템에서 자성물체의 형상판정에 관한 연구)

  • Kim, Jae-Min;Yun, Seung-Ho;Won, Hyuk;Park, Gwan-Soo
    • Journal of the Korean Magnetics Society
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    • v.20 no.2
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    • pp.45-51
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    • 2010
  • We suggest the algorithm that it detects volume and shape according with a variation of magnetic field in non-contact electromagnetic measurement system. It is possible to assess an object shape through a variation of magnetic field. The basic idea is compared a length difference with a variation of magnetic field in a detected object and a circle which modeled equivalent area. And the shape is detected to many calibration process that it is similar to signal pattern between a length difference and a variation of magnetic field in object and equivalent circle. This is the shape detection algorithm that use only the variation of magnetic field. In this paper, it has application to the shape detection algorithm about the object as hexagon, pentagon, rectangle, trigon. we can detect the object shape easily because the shape detection algorithm is only used to the variation of magnetic field.

A Robust Algorithm for Tracking Non-rigid Objects

  • Kim, Jong-Ryul;Na, Hyun-Tae;Moon, Young-Shik
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.141-144
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    • 2002
  • In this paper, we propose a new object tracking algorithm using deformed template and Level-Set theory, which is robust against background variation, object flexibility and occlusion. The proposed tracking algorithm consists of two steps. The first step is an estimation of object shape and location, on the assumption that the transformation of object can be approximately modeled by the affine transform. The second step is a refinement of the object shape to fit into the real object accurately, by using the potential energy map and the modified Level Set speed function. Experimental results show that the proposed algorithm can track non-rigid objects with large variation in the backgrounds.

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ACASH: An Adaptive Web Caching Method with Heterogeneity of Web Object and Reference Characteristics (ACASH: 웹 객체의 이질성과 참조특성 기반의 적응형 웹 캐싱 기법)

  • 고일석;임춘성;나윤지
    • Journal of KIISE:Information Networking
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    • v.31 no.3
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    • pp.305-313
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    • 2004
  • The use of a cache for a storing and processing of Web object is becoming larger. Also, many studies for efficient management of storing scope on cache are performed actively. Web caching technique have many differences with traditional techniques. Particularly, a heterogeneity of Web object which is a processing unit of Web caching and a variation of Web object reference characteristic with time are the important causes to decrease performance of existing techniques. In this study, We proposed the ACASH which was new web caching technique. As ACASH divided and managed Web object and a cache scope with a heterogeneity, It can reduced a heterogeneity variation of an object. Also, it is reflecting a variation of object reference characteristics with time adaptively. In the experiment, We verified that the performance of ACASH was improved than existing techniques on the two experiment model which considered a heterogeneity of an object.

A Method of Tracking Object using Particle Filter and Adaptive Observation Model

  • Kim, Hyoyeon;Kim, Kisang;Choi, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.1
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    • pp.1-7
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    • 2017
  • In this paper, we propose an efficient method that is tracking an object in real time using particle filter and adaptive observation model. When tracking object, it happens object shape variation by camera or object movement in variety environments. The traditional method has an error of tracking from these variation, because it has fixed observation model about the selected object by the user in the initial frame. In order to overcome these problems, we propose a method that updates the observation model by calculating the similarity between the used observation model and the eight-way of edge model from the current position. If the similarity is higher than the threshold value, tracking the object using updated observation model to reset observation model. On the contrary to this, the algorithm which consists of a process is to maintain the used observation model. Finally, this paper demonstrates the performance of the stable tracking through comparison with the traditional method by using a number of experimental data.

Vision Sensor System for Weld Seam Tracking of I-Butt Joint with Height Variation (높이 변화가 있는 막대기 용접선 추적용 시각센서)

  • Kim Moo-Yeon;Kim Jae-Woong
    • Journal of Welding and Joining
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    • v.22 no.6
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    • pp.43-49
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    • 2004
  • In this study, a visual sensor system which can detect I-butt weld joint with height variation and includes a seam tracking algorithm was investigated. Three-dimensional position of an object can be acquired by using the method of distance measurement, i.e., an optical trigonometry which results from the spatial relations between the camera, the object and the structured light by a visible laser. Effects of laser intensity and iris number for the image quality as well as object material were investigated for the optical system design. For the image processing, a region of interest is defined from the whole image and a line image of laser is drew by using the gray level difference in the image. From the drew laser line, the weld joint can be recognized in searching the biggest point position calculated from the central difference method. Through a series of welding experiments, a good tracking performance was confirmed under GMA welding.

Dynamic / Static Object Segmentation and Visual Encryption Mechanism for Storage Space Management of Image Information (영상정보의 저장 공간 관리를 위한 동적/정적 객체 분리 및 시각암호화 메커니즘)

  • Kim, Jinsu;Park, Namje
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1199-1207
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    • 2019
  • Video surveillance data, which is used for preemptive or post-emptive action against any event or accident, is required for monitoring the location, but is reducing the capacity of the image data by removing intervals for cost reduction and system persistence. Such a video surveillance system is fixed in a certain position and monitors the area only within a limited angle, or monitors only the fixed area without changing the angle. At this time, the video surveillance system that is monitored only within a limited angle shows that the variation object such as the floating population shows different status in the image, and the background of the image maintains a generally constant appearance. The static objects in the image do not need to be stored in all the images, unlike the dynamic objects that must be continuously shot, and occupy a storage space other than the necessary ones. In this paper, we propose a mechanism to analyze the image, store only the small size image for the fixed background, and store it as image data only for variable objects.

Feature Parameter Extraction for Shape Information Analysis of 2-D Moving Object (2-D 이동물체의 형태 정보 분석을 위한 특징 파라미터 추출)

  • 김윤호;이주신
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.11
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    • pp.1132-1142
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    • 1991
  • This paper proposed a method of feature parameter extraction for shape information analysis of moving object. In the 2-D plane, moving object are extracted by the difference method. Feature parameters of moving object are chosen area, perimeter, a/p ratio, vertex, x/y ratio. We changed brightness variation from the range of 600Lux to the 1400Lux and then determined Permissible Error range of feature parameter due to the brightness variation. So as to verify the validity of proposed method, experiment are performed with a toy car and it's results showed that decision error was less than 6%.

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A Study on the Influence of the Object's Reflectance on the Active Range Finder (물체의 반사성질이 능동형광센서에 미치는 영향에 관한 연구)

  • 이철원;나석주
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.11
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    • pp.2944-2953
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    • 1994
  • Active range finders using laser beam have been widely used for the factory automation and quality assurance, but they may be unreliable if the object' slope is steep or its surface is specular. The reliability of an active range finder was analyzed for the variation of the reflected laser beam intensity. First, the properties of the object's reflection were modeled by using the bidirectional reflectance-distribution function(BRDF), and then the variation of the laser beam brightness was formulated for the different configuratioin of the object and sensor. The experimental data of the laser beam reflection were obtained for two materials, mild steel and stainless steel. The parameters of the proposed model were obtained by fitting the data of the mild steel to the model and it was found that the results calculated from the proposed model were in good agreement with the experimental data.