• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
• /
• 제10권1호
• /
• pp.14-24
• /
• 2004

뷰는 데이타베이스 관리 시스템에서 논리적 데이타 독립성을 지원하기 위한 필수적인 요소이다. 객체지향/객체관계형 데이타베이스의 오브젝트 뷰는 객체지향 개념을 지원해야 하므로 관계형 데이타베이스의 뷰와는 다른 요구 기능을 가진다. 현재 대부분의 상용 객체지향/객체관계형 데이타베이스 관리 시스템에서 오브젝트 뷰의 기능을 일부 지원하고 있지만, 구현 방법에 대해서는 충분히 알려져 있지 않다. 본 논문에서는 객체지향/객체관계형 데이타베이스를 위한 오브젝트 뷰의 구현 방법을 제안하고, 이를 오디세우스 객체관계형 데이타베이스 관리 시스템에 구현한다. 이를 위해 먼저 오브젝트 뷰의 요구 사항을 분석한다. 다음으로, 오브젝트 뷰의 구현을 위해 관계형 데이타베이스에서 뷰의 구현을 위해 사용하는 질의 수정 알고리즘을 확장하는 방법을 제안한다. 다음으로, 제안한 뷰의 기능들을 상용 객체관계형 데이타베이스 관리 시스템의 뷰의 기능들과 비교한다. 비교 결과, 제안한 방법이 기존의 오브젝트 뷰에 비해 객체지향 개념인 객체 식별자, 상속, 메소드, 복합 객체들을 모두 잘 지원함을 보인다. 마지막으로, 확장된 질의 수정 방법을 오디세우스 객체관계형 데이터베이스 관리 시스템에 구현하기 위한 세부 방법들을 제시한다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.276-276
• /
• 2000

This paper presents the efficient algorithms for the pose determination of a circular object with and without a priori knowledge of the object radius. The developed algorithms valid for a circular object are the result of the elaboration of Ma's work [2], which determines the pose of a conic object from two perspective views. First, the geometric constraint of a circular object and its projection on the image plane of a camera is described. The number of perspective views required for the object pose determination with and without a priori knowledge of the object radius is also discussed. Second, with a priori knowledge of the object radius, the pose of a circular object is determined from a single perspective view. The object pose information, expressed by two surface normal vectors and one position vector, is given in a closed form and with no ambiguity. Third, without a priori knowledge of the object radius, the pose of a circular object is determined from two perspective views. While the surface normal vectors are obtained from the first view, the position vector is obtained from the two views.

• 정보기술과데이타베이스저널
• /
• 제6권1호
• /
• pp.1-13
• /
• 1999

The modeling components in the object-oriented paradigm are based on the object, not the structured function or procedure. That is, in the past, when one wanted to solve problems, he would describe the solution procedure. However, the object-oriented paradigm includes the concepts that solve problems through interaction between objects. The object-oriented model is constructed by describing the relationship between object to represent the real world. As in object-oriented model the relationships between objects increase, the control of objects caused by their insertions, deletions, and modifications comes to be very complex and difficult. Because the loss of the referential integrity happens and the object reusability is reduced. For these reasons, the necessity of the control of objects and the visualization of the relationships between them is required. In order that we design a database necessary to implement Object Browser that has functionalities to visualize Java objects and to perform the query processing in Java object modeling, in this paper we show the processes for EER modeling on Java object and its transformation into relational database schema. In addition we implement Java Object Parser that parses Java object and inserts the parsed results into the implemented database.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제6권5호
• /
• pp.1400-1420
• /
• 2012

Object detection and tracking using visual sensors is a critical component of surveillance systems, which presents many challenges. This paper addresses the enhancement of object detection and tracking via the combination of multiple visual sensors. The enhancement method we introduce compensates for missed object detection based on the partial detection of objects by multiple visual sensors. When one detects an object or more visual sensors, the detected object's local positions transformed into a global object position. Local and global information exchange allows a missed local object's position to recover. However, the exchange of the information may degrade the detection and tracking performance by incorrectly recovering the local object position, which propagated by false object detection. Furthermore, local object positions corresponding to an identical object can transformed into nonequivalent global object positions because of detection uncertainty such as shadows or other artifacts. We improved the performance by preventing the propagation of false object detection. In addition, we present an evaluation method for the final global object position. The proposed method analyzed and evaluated using case studies.

• 한국항공운항학회지
• /
• 제18권2호
• /
• pp.16-22
• /
• 2010

This paper proposes the real-time moving object tracking system UAV using color information. Case of object tracking, it have studied to recognizing the moving object or moving multiple objects on the fixed camera. And it has recognized the object in the complex background environment. But, this paper implements the moving object tracking system using the pan/tilt function of the camera after the object's region extraction. To do this tracking system, firstly, it detects the moving object of RGB/HSI color model and obtains the object coordination in acquired image using the compact boundary box. Secondly, the camera origin coordination aligns to object's top&left coordination in compact boundary box. And it tracks the moving object using the pan/tilt function of camera. It is implemented by the Labview 8.6 and NI Vision Builder AI of National Instrument co. It shows the good performance of camera trace in laboratory environment.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2009년도 IWAIT
• /
• pp.85-88
• /
• 2009

In this paper, we propose a DRF-based object detection method using the object adaptive patch in the satellite imagery. It is a Discriminative Random Fields (DRF) based work, so the detection is done by labeling to the possible patches in the image. For the feature information of each patch, we use the multi-scale and object adaptive patch and its texton histogram, instead of using the single scale and fixed grid patch. So, we can include contextual layout of texture information around the object. To make object adaptive patch, we use "superpixel lattice" scheme. As a result, each group of labeled patches represents the object or object's presence region. In the experiment, we compare the detection result with a fixed grid scheme and shows our result is more close to the object shape.

• 한국정보통신학회논문지
• /
• 제11권3호
• /
• pp.500-506
• /
• 2007

Type Object 디자인 패턴은 하나의 클래스가 수많은 하위 클래스를 갖거나, 그 하위 클래스의 개수를 소프트웨어 개발시에 예측할 수 없는 상황을 해결하고자 제시된 패턴이다. 그러나, 이 패턴은 적용력과 여러 장점에도 불구하고 인스턴스를 생성하는 클래스와 그 인스턴스의 실제적 클래스가 분리되어 있고 또한 객체 레퍼런스에 의해서 서로 연관되어 있으므로 이에 대한 관리를 위한 메커니즘과 패턴의 이해에 있어서 많은 복잡성을 갖는 문제점이 있다. 본 논문에서는 이러한 문제를 해결하기 위한 Type Object Class의 설계와 구현을 제시한다. 즉, Type Object 패턴의 Type Class와 Object Class로부터 Type Object Class를 설정하고, 이를 런타임에 생성되고 사용되게 함으로써, 인스턴스들이 객체 지향프로그래밍 언어에서 제공하는 고유의 클래스를 참조하게 되어 별도의 클래스 참조 메커니즘을 가질 필요가 없도록 하였다. 따라서, 별도의 클래스 참조 메커니즘을 개발하는 부담과 이 메커니즘의 동작으로 인한 실행 상의 성능 저하의 문제가 개선되는 효과가 있다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2004년도 ICCAS
• /
• pp.960-964
• /
• 2004

During system resource improvement process that based on Object-Oriented technology could be affect to the continuous system performance if lack appropriate management and control objects mechanism. This paper proposes a methodology to support continuous system performance and its stability. The adoption is based on Java Container Framework and Collections Framework for object collection. Also includes Software Engineering, Object Migration and Multiple Class Loaders mechanism accommodate to construct Continuous Migration Container (CMC). CMC is a runtime environment provides interfaces for management and control to support upgrading object process. Upgrade object methodology of CMC can be divided into two phase are object equivalence checking and object migration process. Object equivalence checking include object behavior verification and functional conformance verification before object migration process. In addition, CMC use Multiple Class Loaders mechanism to support reload effected classes instead of state transfer in migration process while upgrading object. These operations are crucial for system stability and enhancement efficiency.

• 한국멀티미디어학회논문지
• /
• 제7권12호
• /
• pp.1657-1664
• /
• 2004

We propose a method that classifies images into two object types man-made and natural objects. A central object is extracted from each image by using central object extraction method[1] before classification. A central object in an images defined as a set of regions that lies around center of the image and has significant color distribution against its surrounding. We define three measures to classify the object images. The first measure is energy of edge direction histogram. The energy is calculated based on the direction of only non-circular edges. The second measure is an energy difference along directions in Gabor filter dictionary. Maximum and minimum energy along directions in Gabor filter dictionary are selected and the energy difference is computed as the ratio of the maximum to the minimum value. The last one is a shape of an object, which is also represented by Gabor filter dictionary. Gabor filter dictionary for the shape of an object differs from the one for the texture in an object in which the former is computed from a binarized object image. Each measure is combined by using majority rule tin which decisions are made by the majority. A test with 600 images shows a classification accuracy of 86%.

• 디지털산업정보학회논문지
• /
• 제9권1호
• /
• pp.141-150
• /
• 2013

This study proposes technology using Active Shape Model to track the object separating it by depth-sensors. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust object can be extracted. The proposed algorithm removes the horizontal component from the information of the initial depth map and separates the object using the vertical component. In addition, it is also a more efficient morphology, and labeling to perform image correction and object extraction. By applying Active Shape Model to the information of an extracted object, it can track the object more robustly. Active Shape Model has a robust feature-to-object occlusion phenomenon. In comparison to visual camera-based object tracking algorithms, the proposed technology, using the existing depth of the sensor, is more efficient and robust at object tracking. Experimental results, show that the proposed ASM-based algorithm using depth sensor can robustly track objects in real-time.