• Title/Summary/Keyword: 실시간추적

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Secure QoS Billing System Using Audit Trail Subsystem Design & Implementation (감사 추적 시스템 설계 및 구현을 통한 안전한 QoS 빌링 시스템)

  • Park, U-Chul;Kim, Jeong-Nyeo;Lee, Byeong-Ho
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.597-606
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    • 2001
  • In this paper, we propose the delay sensitive traffic and a high bandwidth QoS service in order to supply real-time traffic such as VoIP, multimedia service. We use IntServ over DiffServ network to supply end-to-end QoS service in the IETF. We define the proposed QoS services which are Best, Good, Default service. We analyze the performance using NS simulator with end to end QoS service in IntServ over DiffServ network. The proposed billing system uses the Accounting, Authentication, Authorization (AAA) functions of RADIUS protocol and proposes the dynamic pricing method according to network usage state using end-to-end QoS of IntServ over DiffServ network. In order to secure billing system, we design and implement audit trail system by the IEEE POSIX.1E standard.

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Development of a Real Time Video Image Processing System for Vehicle Tracking (실시간 영상처리를 이용한 개별차량 추적시스템 개발)

  • Oh, Ju-Taek;Min, Joon-Young
    • International Journal of Highway Engineering
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    • v.10 no.3
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    • pp.19-31
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    • 2008
  • Video image processing systems(VIPS) offer numerous benefits to transportation models and applications, due to their ability to monitor traffic in real time. VIPS based on wide-area detection, i.e., multi-lane surveillance algorithm provide traffic parameters with single camera such as flow and velocity, as well as occupancy and density. However, most current commercial VIPS utilize a tripwire detection algorithm that examines image intensity changes in the detection regions to indicate vehicle presence and passage, i.e., they do not identify individual vehicles as unique targets. If VIPS are developed to track individual vehicles and thus trace vehicle trajectories, many existing transportation models will benefit from more detailed information of individual vehicles. Furthermore, additional information obtained from the vehicle trajectories will improve incident detection by identifying lane change maneuvers and acceleration/deceleration patterns. The objective of this research was to relate traffic safety to VIPS tracking and this paper has developed a computer vision system of monitoring individual vehicle trajectories based on image processing, and offer the detailed information, for example, volumes, speed, and occupancy rate as well as traffic information via tripwire image detectors. Also the developed system has been verified by comparing with commercial VIP detectors.

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A Real-time Augmented Video System using Chroma-Pattern Tracking (색상패턴 추적을 이용한 실시간 증강영상 시스템)

  • 박성춘;남승진;오주현;박창섭
    • Journal of Broadcast Engineering
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    • v.7 no.1
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    • pp.2-9
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    • 2002
  • Recently. VR( Virtual Reality) applications such as virtual studio and virtual character are wifely used In TV programs. and AR( Augmented Reality) applications are also belong taken an interest increasingly. This paper introduces a virtual screen system. which Is a new AR application for broadcasting. The virtual screen system is a real-time video augmentation system by tracking a chroma-patterned moving panel. We haute recently developed a virtual screen system.'K-vision'. Our system enables the user to hold and morse a simple panel on which live video, pictures of 3D graphics images can appear. All the Images seen on the panel change In the correct perspective, according to movements of the camera and the user holding the panel, in real-time. For the purpose of tracking janet. we use some computer vision techniques such as blob analysis and feature tracking. K-vision can work well with any type of camera. requiring no special add-ons. And no need for sensor attachments to the panel. no calibration procedures required. We are using K-vision in some TV programs such as election. documentary and entertainment.

Development of Tracking Equipment for Real­Time Multiple Face Detection (실시간 복합 얼굴 검출을 위한 추적 장치 개발)

  • 나상동;송선희;나하선;김천석;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1823-1830
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    • 2003
  • This paper presents a multiple face detector based on a robust pupil detection technique. The pupil detector uses active illumination that exploits the retro­reflectivity property of eyes to facilitate detection. The detection range of this method is appropriate for interactive desktop and kiosk applications. Once the location of the pupil candidates are computed, the candidates are filtered and grouped into pairs that correspond to faces using heuristic rules. To demonstrate the robustness of the face detection technique, a dual mode face tracker was developed, which is initialized with the most salient detected face. Recursive estimators are used to guarantee the stability of the process and combine the measurements from the multi­face detector and a feature correlation tracker. The estimated position of the face is used to control a pan­tilt servo mechanism in real­time, that moves the camera to keep the tracked face always centered in the image.

A Basic Study on Real Time 3D Location-Tracking in Ground and Underground Using MEMS Sensor (MEMS 센서를 이용한 지상 및 지하에서의 실시간 3차원 위치추적 기술에 관한 기초적 연구)

  • Seol, Munhyung;Jang, Yonggu;Jeon, Heungsoo;Kang, Injoon
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.4
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    • pp.47-52
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    • 2013
  • In Korea, the number of mining operations are getting smaller. But buried accidents are on the increase every year. For this reason, it is important to safety management in construction process, especially the worker's safety. In the field of construction needs utilization of integration system according to purpose of utilization, particularly in underground construction sites utilizing is emphasized even more. The current element technologies of location tracking, sensors and wireless communication possible to utilize but it is still difficult to utilization of integration system in construction field because a study is not complete on commercialization and availability. In this study, for real time 3-dimensional management of ubiquitous construction site in ground and underground, measure data using MEMS sensor, EDM and DGPS in 2 test site. Also results were analysed by MATLAB. As a result, error is verification less than 3 meter that possible to distinguish with the naked eye and construct direction of study based on result of former.

Development of High-Speed Real-Time Signal Processing Unit for Small Radio Frequency Tracking Radar Using TMS320C6678 (TMS320C6678을 적용한 소형 Radio Frequency 추적레이다용 고속 실시간 신호처리기 설계)

  • Kim, Hong-Rak;Hyun, Hyo-Young;Kim, Younjin;Woo, Seonkeol;Kim, Gwanghee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.11-18
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    • 2021
  • The small radio frequency tracking radar is a tracking system with a radio frequency sensor that identifies a target through all-weather radio frequency signal processing for a target and searches, detects and tracks the target for the major target. In this paper, we describe the development of a board equipped with TMS320C6678 and XILINX FPGA (Field Programmable Gate Array), a high-speed multi-core DSP that acquires target information through all-weather radio frequency and identifies a target through real-time signal processing. We propose DSP-FPGA combination architecture for DSP and FPGA selection and signal processing, and also explain the design of SRIO for high-speed data transmission.

CNN Based Face Tracking and Re-identification for Privacy Protection in Video Contents (비디오 컨텐츠의 프라이버시 보호를 위한 CNN 기반 얼굴 추적 및 재식별 기술)

  • Park, TaeMi;Phu, Ninh Phung;Kim, HyungWon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.63-68
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    • 2021
  • Recently there is sharply increasing interest in watching and creating video contents such as YouTube. However, creating such video contents without privacy protection technique can expose other people in the background in public, which is consequently violating their privacy rights. This paper seeks to remedy these problems and proposes a technique that identifies faces and protecting portrait rights by blurring the face. The key contribution of this paper lies on our deep-learning technique with low detection error and high computation that allow to protect portrait rights in real-time videos. To reduce errors, an efficient tracking algorithm was used in this system with face detection and face recognition algorithm. This paper compares the performance of the proposed system with and without the tracking algorithm. We believe this system can be used wherever the video is used.

A New framework for IP Traceback : Inference of Logical Topology by Measuring Packet Losses (IP 역추적을 위한 새로운 접근 : 패킷 손실 기반의 논리적 전송 경로 추정)

  • 이준엽;이승형;양훈기;고재영;강철오;정주영
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.12 no.3
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    • pp.39-47
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    • 2002
  • This paper deals with study of a new framework for the traceback of distributed DoS(Denial of Service) attacks in the Internet, in which many sources flood "spoofed" IP packets towards a single victim. In our scheme, the destination host traces those anonymous packets' losses, and infers the logical end-to-end paths back towards the sources. This method is based on the fact that there is a strong correlation between packet losses when those packets traverse along a same route, and the simulation results show high probabilities of detecting the topology under a certain condition. Compared with previous approaches, our scheme has a number of distinct features: It can be performed in realtime or non-realtime, without any supports of routers or ISPs. Our results may be applied to the inference of physical topology and to support previous approaches.pproaches.

The Optical Tracking Method of Flight Target using Kalman Filter with DTW (DTW와 Kalman Filter를 결합한 비행표적의 광학추적 방법)

  • Jang, Sukwon
    • Journal of Advanced Navigation Technology
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    • v.25 no.3
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    • pp.217-222
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    • 2021
  • EOTS(Electro-Optical Tracking System) is utilized in acquiring visual information to assess a guided missile's performance. As the missile travels so fast, it is almost impossible for operator to re-capture the lost target. The RADAR or telemetry data are used to re-capture the lost target however facilities to receive real time data is required, which constrains selection of tracking site. Unlike aforementioned data, pre-calculated nominal trajectory can be used without communication facility. This paper proposes a method to predict lost target's state by employing nominal trajectory. Firstly, observed trajectory and nominal trajectory are compared using DTW and current target's state is predicted. The predicted state is used as observation in Kalman filter's correction phase to predict target's next state. The plausibility of the proposed method is verified by applying on actual missile trajectory.

A Study on the Application Model of AI Convergence Services Using CCTV Video for the Advancement of Retail Marketing (리테일 마케팅 고도화를 위한 CCTV 영상 데이터 기반의 AI 융합 응용 서비스 활용 모델 연구)

  • Kim, Jong-Yul;Kim, Hyuk-Jung
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.197-205
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    • 2021
  • Recently, the retail industry has been increasingly demanding information technology convergence and utilization to respond to various external environmental threats such as COVID-19 and to be competitive using AI technologies, but there is a very lack of research and application services. This study is a CCTV video data-driven AI application case study, using CCTV image data collection in retail space, object detection and tracking AI model, time series database to store real-time tracked objects and tracking data, heatmap to analyze congestion and interest in retail space, social access zone.We present the orientation and verify its usability in the direction designed through practical implementation.