• Title/Summary/Keyword: and object location

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Filtering Algorithms for Position Evaluation and Tracking of Tactical Objects (전술객체 위치 모의 및 추적을 위한 필터링 알고리즘 연구)

  • Kim, Seok-Kwon;Jin, Seung-Ri;Son, Jae-Won;Park, Dong-Jo
    • Journal of the Korea Society for Simulation
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    • v.19 no.4
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    • pp.199-208
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    • 2010
  • Positions of tactical objects are represented as Time, Space and Position Information(TSPI) in modeling and simulations(M&S). The format and required information record for TSPI is investigated by referring the TSPI object model of the Test and Training Enabling Architecture(TENA), which has been developed by the United States Department of Defense. The most sophisticated tactical data link, Link-16 has a Precise Participant Location and Information (PPLI) message. We study the data format for exchanging TSPI data based on the PPLI message. To evaluate and track positions of tactical objects, we consider the Kalman filter for linear systems, and the extended Kalman filter and the unscented Kalman filter for nonlinear systems. Based on motion equations of a ballistic missile, the tracking performance for the trajectory of the ballistic missile is simulated by the unscented Kalman filter.

Context Driven Real-Time Laser Pointer Detection and Tracking (상황 기반의 실시간 레이저 포인터 검출과 추적)

  • Kang, Sung-Kwan;Chung, Kyung-Yong;Park, Yang-Jae;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.211-216
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    • 2012
  • There are two kinks of processes could detect the laser pointer. One is the process which detects the location of the pointer. the other one is a possibility of dividing with the process which converts the coordinate of the laser pointer which is input in coordinate of the monitor. The previous Mean-Shift algorithm is not appropriately for real-time video image to calculate many quantity. In this paper, we proposed the context driven real-time laser pointer detection and tracking. The proposed method is a possibility of getting the result which is fixed from the situation which the background and the background which are complicated dynamically move. In the actual environment, we can get to give constant results when the object come in, when going out at forecast boundary. Ultimately, this paper suggests empirical application to verify the adequacy and the validity with the proposed method. Accordingly, the accuracy and the quality of image recognition will be improved the surveillance system.

The Model based Tracking using the Object Tracking method in the Sequence Scene (장면 전환에서의 물체 추적을 통한 모델기반추적 방법 연구)

  • Kim, Se-Hoon;Hwang, Jung-Won;Kim, Ki-Sang;Choi, Hyung-Il
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.775-778
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    • 2008
  • Augmented Reality is a growing area in virtual reality research, The world environment around us provides a wealth of information that is difficult to duplicate in a computer. This evidenced by the worlds used in virtual environments. An augmented reality system generates a composite view for the user. It is a combination of the real scene viewed by the user and a virtual scene generated by the computer that augments the scene with addition information. The registration method represent to the user enhances that person's performance in and perception of the world. It decide the direction and location between real world and 3D graphic objects. The registration method devide two method, Model based tracking and Move-Matching. This paper researched at to generate a commerce correlation using a tracking object method, using at a color distribution and information, in the sequence scene.

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A New Shadow Removal Method using Color Information and History Data (물체 색정보와 예전 제거기록을 활용하는 새로운 그림자 제거방법)

  • Choi Hye-Seung;Wang Akun;Soh Young-Sung
    • The KIPS Transactions:PartB
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    • v.12B no.4 s.100
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    • pp.395-402
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    • 2005
  • Object extraction is needed to track objects in color traffic image sequence. To extract objects, we use background differencing method based on MOG(Mixture of Gaussians). In extracted objects, shadows may be included. Due to shadows, we may not find exact location of objects and sometimes we find adjacent objects are glued together. Many methods have been proposed to remove shadows. Conventional methods usually assume that color and texture information are preserved under the shadow. Thus these methods do not work well if these assumptions do not hold. In this paper, we propose a new robust shadow removal method which works well in those situations. First we extract shadow pixel candidates by analysing color information and compute the ratio of shadow pixel candidates over the total number of Pixels. W the ratio is reasonable, we remove shadow candidate Pixels and if not, we use data in history array containing Previous removal records. We applied the method to real color traffic image sequences and obtained good results.

A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network (GPR 영상에서 딥러닝 기반 CNN을 이용한 배관 위치 추정 연구)

  • Chae, Jihun;Ko, Hyoung-yong;Lee, Byoung-gil;Kim, Namgi
    • Journal of Internet Computing and Services
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    • v.20 no.4
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    • pp.39-46
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    • 2019
  • In recently years, it has become important to detect underground objects of various marterials including metals, such as detecting the location of sink holes and pipe. For this reason, ground penetrating radar(GPR) technology is attracting attention in the field of underground detection. GPR irradiates the radar wave to find the position of the object buried underground and express the reflected wave from the object as image. However, it is not easy to interpret GPR images because the features reflected from various objects underground are similar to each other in GPR images. Therefore, in order to solve this problem, in this paper, to estimate the piping position in the GRP image according to the threshold value using the CNN (Convolutional Neural Network) model based on deep running, which is widely used in the field of image recognition, As a result of the experiment, it is proved that the pipe position is most reliably detected when the threshold value is 7 or 8.

Modular Imagined Community: Manila's Koreatown in the Time of Global Korea and the Popularity of Samgyupsal

  • Jose Mari B. Cuartero
    • SUVANNABHUMI
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    • v.16 no.1
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    • pp.39-80
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    • 2024
  • Guided by the prism of cultural studies, this paper takes a look at the Manila Korea Town in Malate, Manila. The location, Manila Korea Town, figures as the paper's object of study by exploring, theorizing, and reflecting on its presence and location within the horizon of the signifying powers of Korea-Philippine relations in the contemporary period. With the subject position of this essay, the paper theorizes by responding to the following questions: How does the meaning-making of South Korea fare with other Koreatowns in the world from the scale of Koreatown in Manila? Subsequently, what happens to a place when a global cultural phenomenon evolves into a form of placemaking in a different nation and territory? As Koreatown finally grounds itself in the anarchic lifeworld of Manila, what does this historical development in our urban lives reveal about our contemporary times? Responding to this set of questions led this paper to foreground the idea of a modular imagined community within a four-part discussion. The body of the essay begins by theorizing on the concept that this paper proposes, modular imagined community, and such a concept work draws from the theories of nationalism by Benedict Anderson and Partha Chatterjee. Subsequently, the antinomy between Anderson and Chatterjee is pursued by looking at the history of such a place, and through this step, the paper unravels the character of the place of Manila Korea Town, which explains the conditions of possibility of such social and communitarian formation. Yet as the public is caught by the presence of such development especially at the heart of Manila, the paper expands the scale and viewpoint by shining light on the globality of South Korea in relation to the Philippines. Lastly, this paper closes with a discussion on the food culture facilitated by this recent development, which also pushes us to imagine its potential, especially in light of the critique raised against South Korea and the popular culture associated with this phenomenon.

Intelligent Collision Prevention Technique for Construction Equipment using Ultrasound Scanning (초음파 스캐닝을 활용한 지능형 건설기계 충돌방지 기술)

  • Lee, Jaehoon;Hwang, Yeongseo;Yang, Kanghyeok
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.5
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    • pp.48-54
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    • 2021
  • According to the Ministry of Employment and Labor's statistics on occupational fatalities in South Korea, more than half of the fatalities in the past five years have occurred in the construction industry. The stuck-by and caught-in-between accidents associated with construction equipment is the major source of fatalities from construction sites. In order to prevent such accidents in construction sites, the government has spent lots of efforts including proposing the "special law on construction safety" and encouraging the implementation of new technology for accident prevention. However, numerous accidents are still occurred at construction sites and further efforts are still required. In this manner, this study developed a collision prevention technique that can prevent collision between equipment and worker by recognizing location and type of the nearby objects through ultrasound scanning. The study conducted a pilot experiment and the analysis results demonstrate the feasibility of achieving high performance in both object recognition and location estimation. The developed technique will contribute to prevent collision accidents at construction sites and provide the supplemental knowledge on developing automated collision prevention system for construction equipment.

A climbing movement detection system through efficient cow behavior recognition based on YOLOX and OC-SORT (YOLOX와 OC-SORT 기반의 효율적인 소 행동 인식을 통한 승가 운동 감지시스템)

  • LI YU;NamHo Kim
    • Smart Media Journal
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    • v.12 no.7
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    • pp.18-26
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    • 2023
  • In this study, we propose a cow behavior recognition system based on YOLOX and OC-SORT. YOLO X detects targets in real-time and provides information on cow location and behavior. The OC-SORT module tracks cows in the video and assigns unique IDs. The quantitative analysis module analyzes the behavior and location information of cows. Experimental results show that our system demonstrates high accuracy and precision in target detection and tracking. The average precision (AP) of YOLOX was 82.2%, the average recall (AR) was 85.5%, the number of parameters was 54.15M, and the computation was 194.16GFLOPs. OC-SORT was able to maintain high-precision real-time target tracking in complex environments and occlusion situations. By analyzing changes in cow movement and frequency of mounting behavior, our system can help more accurately discern the estrus behavior of cows.

A Study on Location of Mobile Field Testbed (모바일산업클러스터구축 입지선정에 관한 연구)

  • Moon, Joon-Seo;Jang, Won-Gyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.3B
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    • pp.159-164
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    • 2008
  • For increasing productivity of domestic IT industry, government and local agencies have some plans to establish industrial clusters to provide local firms with testbed, R&D center, and cooperative research project. The most difficult problem in this process is to decide the location of them by resonable methodology. In this paper, the subject is to find what the factors to be considered in locating facilities and industrial clusters invested by government are and how to decide efficiently. First, we look over some cases of other countries, and then find assessment items for locating. Finally we analyze these items and assessment model by the analytic Hierachy Process(AHP) and make conclusion, As a conclusion, we find the result that there are some differences between the object of govenmental policy and needs of industry. 'The base infrastructure for telecommunications environment' is more important to be considered by the firms than 'The local benefit of the public'

Distribution of the Scatter Ray in Fluoroscopy X-ray Room (투시 검사실 내 공간산란선 분포 측정)

  • Cho, Pyong-Kon
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.349-354
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    • 2011
  • The results of the scattery distribution in the fluoroscopy X-ray room were as follows. When the measurement was done at the same height with the table, measured value was 0.78 mGy/min ~ 0.04 mGy/min (95%) within 50 cm and 250 cm. At 50 cm below the table, it was 0.17 mGy/min ~ 0.02mGy/min (86%) and at 50 cm above the table was 1.37 mGy/min ~ 0.05 mGy/min (96%), displaying a decrease. At the same time, the amount of rays were reduced in 50 ~ 60% at the same height with the table than the location 50 cm above the table, 90~95% of reduction rate was observed at 50 cm below the table. For the collimator, comparing to the case when it was completely open, the amount of ray was reduced from 0.78 mGy/min to 0.16 mGy/min at 50cm away and 0.04 mGy/min to 0.01 mGy/min at 250cm away thus approximately 80% on average was reduced when the collimator was reduced to 25%. Comparing with the case when there was a object on the table, the amount of scatter ray was reduced by 96.7% at every location when there is not a object on the table.