• Title/Summary/Keyword: 이동객체추적

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The Method of Real-Time Location Information Service by using GPS and OpenAPI for Cost-cutting (비용 절감을 위한 GPS와 OpenAPI을 이용한 실시간 위치정보 서비스 방안)

  • Youn, Jae-Hong;Kim, Eun-Seok;Hur, Gi-Taek
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.902-905
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    • 2008
  • With development of internet, location-based service (LBS) is getting more interest in wire and wireless network, and many studies are in progress to provide various services such as GIS and GPS technique related to this. Today positioning and information providing service is accomplished by mobile communication companies' chasing the cell or building unique GIS system, but there is a lot of building-cost that must be endured to define boundary of collecting precise location information from chasing Cell and provide unique location information service. In this paper, it desires to make the database of location information with using GPS, relatively precise satellite positioning system, to cut the cost of building location information service, and to present service models such as children's positioning service that is to reduce the cost of building GIS by using Web Open API and provide location information of discrete object in real-time.

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Design and Implementation of the Gateway Node for the Localization of the Mobile Object in Wireless Sensor Network (무선 센서 네트워크에서 이동 객체의 위치인식을 위한 게이트웨이 노드설계 및 구현)

  • Lee, Joa-Hyoung;Park, Chong-Myung;Jo, Young-Tae;Kwon, Young-Wan;Jung, In-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.7
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    • pp.1314-1320
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    • 2008
  • Recently, LBS(Location Based Service) which provides useful service based on the location of objects or human has drawn the attention of the research community. To provide LBS, many researchers have proposed many localization systems such as Cricket or Ubisense, however, these systems have the limit that it is very hard to perform the complicated computation on these systems because these systems consist of sensor nodes which have very limited computing power. In the paper, we propose a new localization system with the gateway node which has very high computing power and resource which is suitable for the complicated computation needed for localization.

Implementation of Uncertainty Processor for Tracking Vehicle Trajectory (차량 궤적 추적을 위한 불확실성 처리기 구현)

  • Kim, Jin-Suk;Kim, Dong-Ho;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.11D no.5
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    • pp.1167-1176
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    • 2004
  • Along the advent of Internet technology, the computing environment has been considerably changed in many application domains. Especially, a lot of researches for e-Logistics have been done for the last 3 years. The e-Logistics means the virtual business activity and service architecture among the logistics companies based on the Internet technology. To construct effectively the e-Logistics framework, researches on the development of the Moving Object Technology(MOT) including GPS and GIS with spatiotemporal databases technique so far has been done The Moving Object Technology stands for the efficient management for the spatiotemporal objects such as vehicles, airplanes, and vessels which change continuously their spatial location along with time flows. However, most systems manage just only the location information detected lately by many reasons so that the uncertainty processing for the past and future location of the moving objects is still very hard. In this paper, we propose the moving object uncertainty model and system design for e-Logistics applications. The MOMS architecture in e-Logistics is suggested and the detailed explain of sub-systems including the uncertainty processor of moving objects is described. We also explain the comprehensive examples of MOMS and uncertainty processing in Delivery Parcel Application that is one of major application of e-Logistics domain.

Calibration of 3D Coordinates in Orthogonal Stereo Vision (직교식 스테레오 비젼에서의 3차원 좌표 보정)

  • Yoon, Hee-Joo;Seo, Young-Wuk;Bae, Jung-Soo;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.504-507
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    • 2005
  • In this paper, we propose a calibration technique of 3D coordinates using orthogonal stereo vision. First, we acquire front- image and upper- image from stereo cameras with real time and extract each coordinates of a moving object using differential operation and ART2 clustering algorithm. Then, we can generate 3D coordinates of that moving object through combining these two coordinates. Finally, we calibrate 3D coordinates using orthogonal stereo vision since 3D coordinates are not accurate due to perspective. Experimental results show that accurate 3D coordinates of a moving object can be generated by the proposed calibration technique.

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Tag Trajectory Generation Scheme for RFID Tag Tracing in Ubiquitous Computing (유비쿼터스 컴퓨팅에서 RFID 태그 추적을 위한 태그 궤적 생성 기법)

  • Kim, Jong-Wan;Oh, Duk-Shin;Kim, Kee-Cheon
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.1-10
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    • 2009
  • One of major purposes of a RFID system is to track moving objects using tags attached to the objects. Because a tagged object has both location and time information expressed as the location of the reader, we can index the trajectory of the object like existing spatiotemporal objects. More efficient tracking may be possible if a spatiotemporal trajectory can be formed of a tag, but there has not been much research on tag trajectory indexes. A characteristic that distinguishes tags from existing spatiotemporal objects is that a tag creates a separate trajectory in each reader by entering and then leaving the reader. As a result, there is a trajectory interruption interval between readers, in which the tag cannot be located, and this makes it difficult to track the tag. In addition, the point tags that only enter and don't leave readers do not create trajectories, so cannot be tracked. To solve this problem, we propose a tag trajectory index called TR-tree (tag trajectory R-tree in RFID system) that can track a tag by combining separate trajectories among readers into one trajectory. The results show that TR-tree, which overcomes the trajectory interruption superior performance than TPIR-tree and R-tree.

An Enhanced Mobile Object Tracking Method based on Range-hybrid for Low-Density USN Environment (저밀도 USN 환경을 위한 Range-hybrid 기반의 향상된 이동객체 추적기법)

  • Park, Jae-Bok;Cho, Gi-Hwan
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.2
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    • pp.54-64
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    • 2010
  • Localization is the most important feature in the sensor network environment because it is a basic element enabling people and things to aware the circumference environment. Existing localization methods can be categorized as either range-based or range-free. While range-based is known to be not suitable because of the irregularity of radio propagation and the additional device requirement. range-free is much appropriated for the resource constrained sensor network because it can actively locate by means of the communication radio. But its location accuracy is just depended on the density of circumference nodes; it is very low in low-density sensor network environment. This paper proposes a mobile object tracking method, named DRTS(Distributed Range-hybrid Tracking Scheme), with combining range-based and range-free. It is optimally making use of the location, communication range, and received signal strength from circumference nodes. Especially, it can greatly improve the mobile tracking accuracy by adapting a new prediction method, named EGP(Estimative Gird Points) into the proposed location estimation method. The simulation results show that our method outperforms the other localization and tracking methods in the tracking accuracy point of view.

A Novel Vehicle Counting Method using Accumulated Movement Analysis (누적 이동량 분석을 통한 영상 기반 차량 통행량 측정 방법)

  • Lim, Seokjae;Jung, Hyeonseok;Kim, Wonjun;Lee, Ryong;Park, Minwoo;Lee, Sang-Hwan
    • Journal of Broadcast Engineering
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    • v.25 no.1
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    • pp.83-93
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    • 2020
  • With the rapid increase of vehicles, various traffic problems, e.g., car crashes, traffic congestions, etc, frequently occur in the road environment of the urban area. To overcome such traffic problems, intelligent transportation systems have been developed with a traffic flow analysis. The traffic flow, which can be estimated by the vehicle counting scheme, plays an important role to manage and control the urban traffic. In this paper, we propose a novel vehicle counting method based on predicted centers of each lane. Specifically, the centers of each lane are detected by using the accumulated movement of vehicles and its filtered responses. The number of vehicles, which pass through extracted centers, is counted by checking the closest trajectories of the corresponding vehicles. Various experimental results on road CCTV videos demonstrate that the proposed method is effective for vehicle counting.

Moving Target Tracking and Recognition for Location Based Surveillance Service (위치기반 감시 서비스를 위한 이동 객체 추적 및 인식)

  • Kim, Hyun;Park, Chan-Ho;Woo, Jong-Woo;Doo, Seok-Bae
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1211-1212
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    • 2008
  • In this paper, we propose image process modeling as a part of location based surveillance system for unauthorized target recognition and tracking in harbor, airport, military zone. For this, we compress and store background image in lower resolution and perform object extraction and motion tracking by using sobel edge detection and difference picture method between real images and a background image. In addition to, we use Independent Component Analysis Neural Network for moving target recognition. Experiments are performed for object extraction and tracking of moving targets on road by using static camera in 20m height building and it shows the robust results.

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Technical Trends of Projection-based Augmented Reality (프로젝션 기반 증강현실 기술동향)

  • Heo, G.S.;Lee, D.W.;Jeong, H.T.;Park, J.S.
    • Electronics and Telecommunications Trends
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    • v.26 no.5
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    • pp.92-101
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    • 2011
  • 최근 3D 및 증강현실 기술이 발전함에 따라 사용자는 특수한 장비를 착용하지 않고서도 주변의 다양한 서비스 및 콘텐츠가 현실 세계와 결합되어 디스플레이 되며, 손의 감각과 인식에 따라 직접 상호작용하는 것을 요구한다. 이에 따라 기존 see-through HMD(Head Mounted Display)나 모니터 화면을 벗어나 실세계의 객체에 직접 증강된 현실을 보여주고 체험할 수 있는 프로젝션 기반 증강현실 기술의 중요성이 증대되고 있다. 본 고에서는 프로젝션 기반 증강현실을 구현하기 위한 출력보정, 추적 및 정합, 상호작용 및 사용자 인터페이스 기술에 대한 동향을 살펴본다. 더불어 산업, 의료, 교육 및 엔터테인먼트, 모바일 응용 등 각 분야에서 활용되고 있는 최근의 프로젝션 기반 증강현실 기술동향을 소개한다.

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Active Shape Model-based Object Tracking using Depth Sensor (깊이 센서를 이용한 능동형태모델 기반의 객체 추적 방법)

  • Jung, Hun Jo;Lee, Dong Eun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.1
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    • pp.141-150
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    • 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.