• Title/Summary/Keyword: Specific Object

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Design and Implementation of an Object Migration System Using the Java Language (Java 언어를 이용한 객체이동시스템의 설계 및 구현)

  • Jeon, Byeong-Guk;Lee, Geun-Sang;Choe, Yeong-Geun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.1
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    • pp.49-56
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    • 1999
  • Distributed object Computing, owing to the development of distributed computing, has improved the performance of distributed processing conducted between homogeneous and heterogeneous systems in network. However, it has failed to solve fundamental problems such as network overload and enormous requests demands by servers and clients. In this paper, we propose to design and implement an Object Migration system that uses the java language to tackle the mentioned problems. As the first step of the implementation of the system, we justify the characteristics of t도 mobile object model that keeps codes and states of an object. Implemented Object Migration System would accept objects being migrated to a specific node and support the virtual place in which objects could be executed automatically. Therefore, the Object Migration system we suggest could not only solve problems imposed to traditional distributed computing but also offer transparency of object migration between homogeneous and heterogeneous systems.

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A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB

  • Dae-Hyun Kim;Hyo Hyun Choi
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.13-20
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    • 2024
  • This paper introduces a method for generating model images that can identify specific cylindrical medicine containers in videos and investigates data collection techniques. Previous research had separated object detection from specific object recognition, making it challenging to apply automated image stitching. A significant issue was that the coordinate-based object detection method included extraneous information from outside the object area during the image stitching process. To overcome these challenges, this study applies the newly released YOLOv8 (You Only Look Once) segmentation technique to vertically rotating pill bottles video and employs the ORB (Oriented FAST and Rotated BRIEF) feature matching algorithm to automate model image generation. The research findings demonstrate that applying segmentation techniques improves recognition accuracy when identifying specific pill bottles. The model images created with the feature matching algorithm could accurately identify the specific pill bottles.

Moving Objects Tracking Method using Spatial Projection in Intelligent Video Traffic Surveillance System (지능형 영상 교통 감시 시스템에서 공간 투영기법을 이용한 이동물체 추적 방법)

  • Hong, Kyung Taek;Shim, Jae Homg;Cho, Young Im
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.35-41
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    • 2015
  • When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.

Implementation of Real-Time Security System by using Dual Camera (이중카메라를 이용한 실시간 도난방지 시스템의 구현)

  • Lee, Kwang-Hyoung;Jung, Young-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.1
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    • pp.158-164
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    • 2009
  • The real time security system using web camera shall correspond in commensurate with it in real time through classifying moving object and analyzing the behavior. But, as to the detection of moving object in real time image through a camera, it is difficult to detect movement correctly according to the change of unnecessary noises, lighting conditions and screened phenomenon. This paper proposes real time security system by dual camera and ultrasonic sensor, a method of advanced detection in order to detect correct movement of specific object. That is, we could improve the tracing characteristics by using ultrasonic sensor as measurement factor of changed position and verify through experiments that the information interchanged between camera upwards and in front of it have effect on tracing a specific object continuously. The results of the experiment show that recognition rate of object was 97.4% and the correct tracing could be done lastingly in a phenomena of screening object.

A Systematic Construction of Object-Oriented Methods (객체지향 개발방법의 체계적 구성)

  • Kim, Hyung-Ho;Kim, Young-Gon;Bae, Doo-Hwan;Kim, Min-Kyung;Yoo, Byung-Kyu
    • Journal of KIISE:Software and Applications
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    • v.27 no.5
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    • pp.488-498
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    • 2000
  • Object-oriented methodologies are widely used in the development of huge and complex systems since these methodologies produce the comprehensible and extensible model of systems. In order to apply an object-oriented methodology to a software development, developers should derive a method customized to a specific project from the methodology and, then, construct a development process from the method. Unfortunately, existing object-oriented methodologies lack a systematic facility for the construction of a method and a process. In this paper, we present a customizable object-oriented methodology to support the systematic derivation of a project specific method from the generic methodology. To derive a project specific method from the methodology, we transform the problem of a derivation to a planning problem and apply planning techniques. Our planning technique uses the description of an architecture that captures the structure and characteristics of a software under development as input and constructs an appropriate method with respect to the architecture. The architecture-centered construction facilitates the effective handling for the characteristics of the software since an architecture capture the decisions that must be maintained consistently during the development.

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The Color Enhancement of TV Picture by the Color Measurement of Illumination (광원의 색채 계측에 의한 TV 화상의 색 향상)

  • 이응주;정인갑;박양우;이광춘;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.1
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    • pp.47-58
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    • 1996
  • An object color can be seen differently under the various outer illuminants. However, human visual system has color constnacy that the object color can be seen constantly under the different outer illuminants. When the viewer watches TV under specific that the object color can be seen constantly under the different outer illuminants. When the viewer bathes TV under specific outer illuminants, he perceives distortes color due to the emitting specturm of outer illuminants as well as the radiation of CPT itself. Namely, when the outer illuminants such as fluorescent and incandescent lamps incident on CPT, brightness, saturation, hue, itself. Namely, when the outer iluminants such as fluorescent and incandescent lamps incident on CPT, brightness, saturation, hue, and contrast on color pictures are changend, he perceives distortedcolr fromthe original color. In this paper color enhancement algorithm based on light intensity and outer light decision funtion using RGB sensor was proposed. The implemented TV of proposed algorithm has higher visual quality at the view point of human visual system and more vivid than that ofcoventional color TV.

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Moving object Tracking Algorithm Based on Specific Color Detection (특정컬러정보 검출기반의 이동객체 탐색 알고리듬 구현)

  • Kim, Young-Bin;Ryu, Kwang-Ryol;Sclabassi, Robert J.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.277-280
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    • 2007
  • A moving object tracking algorithm for image searching based on specific color detection is proposed in this paper. That is preprocessed for a luminance variation and noise cancellation to be robust system. The motion tracking is used the difference between input image and reference image in R, G, B each channels for a moving image. The proposed method is enhanced to 15% fast in comparison with the contour tracking method and the matching method, and stable.

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High Level Object Oriented Real-Time Simulation Programming and Time-triggered Message-triggered Object(TMO) Scheme

  • Jeong, Chan-Joo;Na, Sang-Donh
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.856-862
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    • 2002
  • The object-oriented(00) distributed real-time(RT) programming movement started in1990's and is growing rapidly at this turn of the century. Distributed real-time simulation is a field in its infancy but it is bounded to receive steadily growing recognition for its importance and wide applicability. The scheme is called the distributed time-triggered simulation scheme which is conceptually simple and easy to use but widely applicable. A new generation object oriented(00) RT programming scheme is called the time-triggered message triggered object(TMO)programming scheme and it is used to make specific illustrations of the issues. The TMO structuring scheme is a general-style components structuring scheme and supports design of all types of component including hard real time objects and non real time objects within one general structure.

A Study Access to 3D Object Detection Applied to features and Cars

  • Schneiderman, Henry
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.103-110
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    • 2008
  • In this thesis, we describe a statistical method for 3D object detection. In this method, we decompose the 3D geometry of each object into a small number of viewpoints. For each viewpoint, we construct a decision rule that determines if the object is present at that specific orientation. Each decision rule uses the statistics of both object appearance and "non-object" visual appearance. We represent each set of statistics using a product of histograms. Each histogram represents the joint statistics of a subset of wavelet coefficients and their position on the object. Our approach is to use many such histograms representing a wide variety of visual attributes. Using this method, we have developed the first algorithm that can reliably detect faces that vary from frontal view to full profile view and the first algorithm that can reliably detect cars over a wide range of viewpoints.

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