• Title/Summary/Keyword: Trace detect

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A Study on Detection of Object Position and Displacement for Obstacle Recognition of UCT (무인 컨테이너 운반차량의 장애물 인식을 위한 물체의 위치 및 변위 검출에 관한 연구)

  • 이진우;이영진;조현철;손주한;이권순
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1999.10a
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    • pp.321-332
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    • 1999
  • It is important to detect objects movement for obstacle recognition and path searching of UCT(unmanned container transporters) with vision sensor. This paper shows the method to draw out objects and to trace the trajectory of the moving object using a CCD camera and it describes the method to recognize the shape of objects by neural network. We can transform pixel points to objects position of the real space using the proposed viewport. This proposed technique is used by the single vision system based on floor map.

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Mean-Shift Blob Clustering and Tracking for Traffic Monitoring System

  • Choi, Jae-Young;Yang, Young-Kyu
    • Korean Journal of Remote Sensing
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    • v.24 no.3
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    • pp.235-243
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    • 2008
  • Object tracking is a common vision task to detect and trace objects between consecutive frames. It is also important for a variety of applications such as surveillance, video based traffic monitoring system, and so on. An efficient moving vehicle clustering and tracking algorithm suitable for traffic monitoring system is proposed in this paper. First, automatic background extraction method is used to get a reliable background as a reference. The moving blob(object) is then separated from the background by mean shift method. Second, the scale invariant feature based method extracts the salient features from the clustered foreground blob. It is robust to change the illumination, scale, and affine shape. The simulation results on various road situations demonstrate good performance achieved by proposed method.

Integrated Cavity Output Spectroscopy Using an External Cavity Diode Laser for the Density Absorption Measurement of Trace Gases (미량 기체의 밀도 측정을 위한 외부 공진기 반도체 레이저 광학공동 적분 투과 분광법)

  • Ryoo Hoon Chul;Yoo Yong Shin;Lee Jae Yong;Hahn Jae Won
    • Journal of the Korean Vacuum Society
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    • v.15 no.1
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    • pp.24-30
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    • 2006
  • Integrated cavity output spectroscopy(ICOS) is a simple, non-intrusive absorption measurement technique that can detect and quantify trace-level gas species. The spectral absorbance of a gas is quantified from the integrated optical output of the modulated high-finesse cavity containing the sample which is irradiated by a wavelength-swept laser source. We constructed an experimental setup by using a tunable single mode external cavity diode laser operating at the wavelength near 765 nm and a Fabry-Perot cavity with length modulation achieved by a piezoelectric transducer where one of the cavity mirrors sat on. In the experiment performed on minute oxygen gas at the wave-length near 764.5nm, we demonstrated the minimum detectable absorption of $8.45\times10^{-8}cm^{-1}$.

Realtime Facial Expression Data Tracking System using Color Information (컬러 정보를 이용한 실시간 표정 데이터 추적 시스템)

  • Lee, Yun-Jung;Kim, Young-Bong
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.159-170
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    • 2009
  • It is very important to extract the expression data and capture a face image from a video for online-based 3D face animation. In recently, there are many researches on vision-based approach that captures the expression of an actor in a video and applies them to 3D face model. In this paper, we propose an automatic data extraction system, which extracts and traces a face and expression data from realtime video inputs. The procedures of our system consist of three steps: face detection, face feature extraction, and face tracing. In face detection, we detect skin pixels using YCbCr skin color model and verifies the face area using Haar-based classifier. We use the brightness and color information for extracting the eyes and lips data related facial expression. We extract 10 feature points from eyes and lips area considering FAP defined in MPEG-4. Then, we trace the displacement of the extracted features from continuous frames using color probabilistic distribution model. The experiments showed that our system could trace the expression data to about 8fps.

Debugging of communication Events Based on the RPC Event Model (RPC 이벤트 모델에 기반한 통신 이벤트의 디버깅)

  • Seo, Yeong-Ae;Jo, Yeong-Uk;Lee, Gong-Seon;Park, Chang-Sun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.1
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    • pp.225-233
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    • 1999
  • One of the reasons that debugging distributed programs is much more difficult than sequential programs is the communication among processes. Even though there are many debuggers constructed on distributed system environment, no available debugger provides an efficient way to debug communication events.. In this paper, we show the way to debug RPC communication, which is regarded as one of the most popular communication protocol in distributed system development. This paper presents the implementation of the RPC event trace function based on the RPC event model, which is proposed to accommodate communication events into debugging objects. Analyzing conventional RPC protocols, we formalized library function calls as corresponding actions to sending and receiving of messages. B recognizing the locations of library calls the debugger can detect all occurrences of communication events, This RPC event trace function is implemented on the on-line distributed debugger UniVIEW system.

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Information Transfer Method of Dangerous Road Condition (도로 위험 상황의 전송 방법)

  • An, Soo-Jin;Kim, Young-Wook;Han, Min-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.189-197
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    • 2007
  • Developed safety system which transfers danger information to rear cars for accident prevention when drivers detect a accident, a dropping or a freezing during driving on the high way. To prevent an accident, each vehicles mount OBU which is made up of a GPS unit and a transmitter-receiver and the trace of road is always renewed and saved in OBU per a regular past distance. When the driver see dangerous situation, transfer a danger pattern and a trace information by pressing button. All cars which receive information compare the received data with the original data. And then, only cars which are located at the rear in a regular distance respond and occur a warning. Performed a road test at the rate of $30{\sim}50$ kilometer a hour using two test cars which saved about 120meter's space between them were mounted OBU which had 447Mhz transceiver. As a result of the experiment, communication between test cars had no problem. Accordingly, it can use a safety driving device because driver can notice a danger situation and set themselves ready for it using this system in advance.

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The use of Local API(Anomaly Process Instances) Detection for Analyzing Container Terminal Event (로컬 API(Anomaly Process Instances) 탐지법을 이용한 컨테이너 터미널 이벤트 분석)

  • Jeon, Daeuk;Bae, Hyerim
    • The Journal of Society for e-Business Studies
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    • v.20 no.4
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    • pp.41-59
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    • 2015
  • Information systems has been developed and used in various business area, therefore there are abundance of history data (log data) stored, and subsequently, it is required to analyze those log data. Previous studies have been focusing on the discovering of relationship between events and no identification of anomaly instances. Previously, anomaly instances are treated as noise and simply ignored. However, this kind of anomaly instances can occur repeatedly. Hence, a new methodology to detect the anomaly instances is needed. In this paper, we propose a methodology of LAPID (Local Anomaly Process Instance Detection) for discriminating an anomalous process instance from the log data. We specified a distance metric from the activity relation matrix of each instance, and use it to detect API (Anomaly Process Instance). For verifying the suggested methodology, we discovered characteristics of exceptional situations from log data. To demonstrate our proposed methodology, we performed our experiment on real data from a domestic port terminal.

PCR Method Based on the ogdH Gene for the Detection of Salmonella spp. from Chicken Meat Samples

  • Jin, Un-Ho;Cho, Sung-Hak;Kim, Min-Gon;Ha, Sang-Do;Kim, Keun-Sung;Lee, Kyu-Ho;Kim, Kwang-Yup;Chung, Duck Hwa;Lee, Young-Choon;Kim, Cheorl-Ho
    • Journal of Microbiology
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    • v.42 no.3
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    • pp.216-222
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    • 2004
  • In a previous paper, the ogdH gene that encodes 2-oxoglutarat dehydrogenase was isolated from Salmonella typhimurium. The catalytic N-terminal region in the enzyme was found to be very specific for the Salmonella species. Therefore, the aim of the present study was to detect S. typhimurium in food sources using primers designed for OGDH-l and OGDH-2 which were based on the salmonella-specific region of the ogdH gene. A simple polymerase chain reaction (PCR) detection method was developed to detect low numbers of S. typhimurium in a chicken meat microbial consortium. Using the ogdH-specific primers under stringent amplification conditions and for gene probe analysis, fewer than 100 colony-forming units (CFUs) were detectable when pure cultures were employed. When the PCR assay was run on S. typhimurium-contaminated meat contents, only the positive meat samples containing as few as 200 CFUs reacted to the assay. The method employed for sample processing is simple and it was determined to provide a sensitive means of detecting trace amounts of S. typhimurium-specific sequences in the presence of mixed meat microbial populations. When compared with six representative intestinal gram-negative bacterial strains in foods, including Vibrio parahaemolyticus, V. vulnificus, Enterobacter cloacae, E. coli O157:H7, Pseudomonas aeruginosa, and Proteus sp., S. typhimurium had a unique and distinct PCR product (796 bp). In conclusion, the two OGDH primers were found to be rapid and sensitive detectors of Salmonella spp for the PCR method.

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.

PTZ Camera Based Multi Event Processing for Intelligent Video Network (지능형 영상네트워크 연계형 PTZ카메라 기반 다중 이벤트처리)

  • Chang, Il-Sik;Ahn, Seong-Je;Park, Gwang-Yeong;Cha, Jae-Sang;Park, Goo-Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.11A
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    • pp.1066-1072
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    • 2010
  • In this paper we proposed a multi event handling surveillance system using multiple PTZ cameras. One event is assigned to each PTZ camera to detect unusual situation. If a new object appears in the scene while a camera is tracking the old one, it can not handle two objects simultaneously. In the second case that the object moves out of the scene during the tracking, the camera loses the object. In the proposed method, the nearby camera takes the role to trace the new one or detect the lost one in each case. The nearby camera can get the new object location information from old camera and set the seamless event link for the object. Our simulation result shows the continuous camera-to-camera object tracking performance.