• 한국컴퓨터정보학회논문지
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• 제17권10호
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• pp.43-53
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• 2012

본 논문에서는 화면상 약속된 동작을 찾고 추적하는 알고리즘을 이용한 사용자 인터페이스를 제안한다. 현재 frame과 복수의 이전 frame간의 차영상을 이용하여 움직임 영역을 검출하고 약속된 제스처를 취하는 영역을 제어대상으로 인식한다. 이를 통하여 사용자가 장갑을 사용한다던지, 인종, 피부색등에 구애받지 않고 손동작 영역을 검출해 낼 수 있다. 또한 기존 색체 분포 추적 알고리즘을 개량하여 유사한 배경을 가로지르는 경우의 무게중심 위치의 정확성을 높였다. 그 결과 기존 피부색 인식 방법에 비해 약속된 손동작 인식률의 향상이 있었으며 기존 색체 추적 알고리즘에 비교하여 추적 인식률 향상을 확인할 수 있었다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 3부
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• pp.19-24
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• 2008

본 논문은 원격제어(teleoperation)시스템에서 카메라로부터의 실시간 영상정보를 이용하여 조작대상이 되는 물체의 물리기반모델(physically-based model)을 만들고 이를 기반으로한 햅틱 렌더링 알고리즘의 개발에 관한 것이다. CCD 카메라를 통한 영상정보와 물성치(mechanical properties)를 이용하여 변형체(deformable object)의 물리적 기반 모델이 구현되고 햅틱장치로 조종되는 평면 로봇(planar robot)을 제어하여 변형체에 변형을 가하면 구현된 물리적 모델에 의해 햅틱 피드백을 위한 반력값이 계산된다. 스네이크 알고리즘을 이 용하여 영상정보로부터 변형체의 외형정보(geometry information)를 추출하며, 변형체의 경계(boundary)에서의 반력값을 계산하기 위해 경계요소법(boundary element method)을 사용한다. 제안된 햅틱 렌더링 알고리즘을 이용하여 원격조작간에 힘센서를 사용하지 않고 사용자에게 햅틱 피드백을 제공할 수 있다.

• International Journal of Precision Engineering and Manufacturing
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• 제5권1호
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• pp.27-35
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• 2004

In the field of machine vision using a single camera mounted on a mobile robot, although the detection and tracking of moving objects from a moving observer, is complex and computationally demanding task. In this paper, we propose a new scheme for a mobile robot to track and capture a moving object using images of a camera. The system consists of the following modules: data acquisition, feature extraction and visual tracking, and trajectory generation. And a single camera is used as visual sensors to capture image sequences of a moving object. The moving object is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the active camera. Uncertainties in the position estimation caused by the point-object assumption are compensated using the Kalman filter. To generate the shortest time trajectory to capture the moving object, the linear and angular velocities are estimated and utilized. The experimental results of tracking and capturing of the target object with the mobile robot are presented.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권2호
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• pp.251-254
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• 2016

An energy-efficient object matching accelerator is proposed for mobile object recognition based on matching prediction scheme. Conventionally, vocabulary tree has been used to save the external memory bandwidth in object matching process but involved massive internal memory transactions to examine each object in a database. In this paper, a novel object matching accelerator is proposed based on matching predictions to reduce unnecessary internal memory transactions by mitigating non-target object examinations, thereby improving the energy-efficiency. Experimental results show a 26% reduction in power-delay product compared to the prior art.

• 한국정보처리학회논문지
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• 제6권11S호
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• pp.3340-3349
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• 1999

Supporting object group on distributed object system give merits such as load balancing, fault tolerance and high availability. In this paper, we describe a CORBA ORB that has been designed to support object group based on active replication. The ORB supports the operational model in which it uses the IIOP for communication between client and server and total ordered multicast protocol for consistency control among group members. And through extension of ORB, it provides functions required for support of object group. Since it provides transparency of object replication, the ORB is interoperable with the existing CORBA products. It make possible for existing server application to be easily extended to application supporting object group as adding interface functions which should be used for building applications is minimized. A prototype is implemented, and performance of the replicated object group is tested and compared with a single object invocation.

• International Journal of Advanced Culture Technology
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• 제4권4호
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• pp.75-80
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• 2016

The process of extracting external boundary of an object is a very important process for recognizing an object in the image. The proposed extraction method consists of two processes: External Boundary Extraction and Thinning. In the first step, external boundary extraction process separates the region representing the object in the input image. Then, only the pixels adjacent to the background are selected among the pixels constituting the object to construct an outline of the object. The second step, thinning process, simplifies the outline of an object by eliminating unnecessary pixels by examining positions and interconnection relations between the pixels constituting the outline of the object obtained in the previous extraction process. As a result, the simplified external boundary of object results in a higher recognition rate in the next step, the object recognition process.

• 한국컴퓨터정보학회논문지
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• 제22권12호
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• pp.63-68
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• 2017

In this paper, we propose a bounding box prediction algorithm using multiple probability maps to improve object detection result of object detector. Although the performance of object detectors has been significantly improved, it is still not perfect due to technical problems and lack of learning data. Therefore, we use the result correction method to obtain more accurate object detection results. In the proposed algorithm, the preprocessed bounding box created as a result of object detection by the object detector is clustered in various form, and a conditional probability is given to each cluster to make multiple probability map. Finally, multiple probability map create new bounding box of object using morphological elements. Experiment results show that the newly predicted bounding box reduces the error in ground truth more than 45% on average compared to the previous bounding box.

• 전기학회논문지
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• 제64권7호
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• pp.1047-1055
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• 2015

We proposes a method for improving the identification and tracking of the moving objects in intelligent video surveillance system. The proposed method consists of 3 parts: object detection, object recognition, and object tracking. First of all, we use a GMM(Gaussian Mixture Model) to eliminate the background, and extract the moving object. Next, we propose a labeling technique forrecognition of the moving object. and the method for identifying the recognized object by using the optical flow and EMD algorithm. Lastly, we proposes method to track the location of the identified moving object regions by using location information of moving objects and Kalman filter. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

• 한국산학기술학회논문지
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• 제14권4호
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• pp.1921-1925
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• 2013

본 논문에서는 일정 지역에 내에 진입한 영상 객체에 대한 객체추적 방안을 제안한다. 인식된 객체에 대한 추적은 객체가 특정 지역에 진입할 경우 객체의 이동 패턴을 탐지하기 위해 추적을 수행할 수 있다. 이는 여러 애플리케이션에 적용될 수 있는 것으로 위험 지역 혹은 경계 지역에 비인가 객체의 침입이나 특정 객체의 행동 패턴을 확인하기 위하여 객체의 추적 및 탐색을 수행하는 것이다.

• 한국통신학회논문지
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• 제23권9A호
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• pp.2258-2270
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• 1998

Recently, the distributed processing environments provide various open multimedia serivces through telecommunication network and have been developing into information networking structure based on object oriented concepts and distributed systems which can apply new services with a few changes the existing networks. This paper proposes the object group model which is the collection of objects and can functionally and efficiently manage the individual object. this paper presents the analysis of the requirement and the function specifications to propose the object group model, and depicts the functional structure in details using its analysis. The goal of this paper is to decrease the complexity of the object's management and to voercome the limitations of among the components of object group for management and service functions based on our proposed the object group model and show interaction procedures to eTD (event tracing diagram)s and finally we design the object group model by TINA-ODL.