• 제목/요약/키워드: 다중변화궤적

검색결과 19건 처리시간 0.021초

Population Movement Analysis Using Visual Object Tracking (다중물체추적을 이용한 유동인구 행태 분석)

  • Choi, Kyuh-Young;Choi, Young-Ju;Jung, Ji-Hong;Seo, Yong-Duek
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 한국방송공학회 2007년도 동계학술대회
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    • pp.83-86
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    • 2007
  • 비디오에서의 물체 추적은 컴퓨터비젼(computer vision)의 주요 연구 분야로 지능형 로봇, 무인 감시 체제 등의 영역의 핵심 기술로 여겨지고 있다. 본 논문에서는 다중물체추적을 통해 카메라로 부터 입력된 동영상에서 특정 장소를 지나가는 사람들을 추적함으로서, 그 지역에서의 인구의 이동 패턴을 추출하고 자 한다. 물체 추적은 블롭 추적(blob tracking) 방식을 이용하며, 이를 위해 정확한 전경물체 추출, 추출된 이미지 블롭(blob)과 기존 트랙과의 연결, 새로운 물체(사람)의 등장과 퇴장등의 작업을 수행한다. 추적된 물체들이 궤적을 통해, 시간의 변화에 따른 그 지역에서의 인구의 밀도, 주 이동 경로, 방향 등의 변화를 추출한다. 이러한 통계치는 해당 지역의 개발 정책 수립 및 시장성 조사를 위한 2차 데이타로 활용할 수 있다.

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Mining Frequent Trajectory Patterns in RFID Data Streams (RFID 데이터 스트림에서 이동궤적 패턴의 탐사)

  • Seo, Sung-Bo;Lee, Yong-Mi;Lee, Jun-Wook;Nam, Kwang-Woo;Ryu, Keun-Ho;Park, Jin-Soo
    • Journal of Korea Spatial Information System Society
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    • 제11권1호
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    • pp.127-136
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    • 2009
  • This paper proposes an on-line mining algorithm of moving trajectory patterns in RFID data streams considering changing characteristics over time and constraints of single-pass data scan. Since RFID, sensor, and mobile network technology have been rapidly developed, many researchers have been recently focused on the study of real-time data gathering from real-world and mining the useful patterns from them. Previous researches for sequential patterns or moving trajectory patterns based on stream data have an extremely time-consum ing problem because of multi-pass database scan and tree traversal, and they also did not consider the time-changing characteristics of stream data. The proposed method preserves the sequential strength of 2-lengths frequent patterns in binary relationship table using the time-evolving graph to exactly reflect changes of RFID data stream from time to time. In addition, in order to solve the problem of the repetitive data scans, the proposed algorithm infers candidate k-lengths moving trajectory patterns beforehand at a time point t, and then extracts the patterns after screening the candidate patterns by only one-pass at a time point t+1. Through the experiment, the proposed method shows the superior performance in respect of time and space complexity than the Apriori-like method according as the reduction ratio of candidate sets is about 7 percent.

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Dynamic Data Path Prediction use Extend EKF Movement Tracing in Net-VE (Net-VE에서 이동궤적을 이용한 동적데이터 경로예측)

  • Song, Sun-Hee;Oh, Haeng-Soo;Park, Kwang-Chae;Kim, Gwang-Jun;Ra, Sang-Dong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • 제1권2호
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    • pp.81-89
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    • 2008
  • Improved EKF suggests variable path prediction to reduce the event traffic caused by the information sharing among multi-users in networked virtual environment. The three dimensional virtual space is maintained consistently by endless status information exchange among dispersed users, and periodic status transmission brings traffic overhead in network. By using the error between the measured movement trace of dynamic information and the EKF predicted, we propose the method applied to predict the mobile packet of dynamic data which is simultaneously changing. And, the simulation results of DIS dead reckoning algorithms and EKF path prediction is compared here. It followed the specific path and while moving, the proposed method which it proposes predicting with DIS dead reckoning algorithm and to compare to the mobile path of the actual object and it got near it predicts the possibility of knowing it was.

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A Study on the Longitudinal Trajectories of Use Time and the Related factors for the Children in Community Children Centers (아동의 지역아동센터 이용시간의 종단적 변화유형과 영향요인에 관한 연구)

  • Kim, Dong Ha
    • Korean Journal of Social Welfare Studies
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    • 제49권2호
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    • pp.159-180
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    • 2018
  • The purpose of this study is to identify the trajectories in the use time of children from community children centers and to examine the predictive factors and developmental factors related to each trajectory. The data were derived from the second stage of the Community Children Center Panel Survey using from the first wave (2014) to the third wave (2016). A total of 606 samples were selected from the forth to sixth grades of elementary school. Latent class growth model was employed to identify the trajectories, and the multinominal logistic regression and the logistic regression analysis were used to examine predictive factors and developmental factors. Main results indicated that three types of trajectory were identified: high using group, low using group, and high initial using-rapid declining group. Sex, parental supervision, and use duration were found to be significant predictors. Regarding developmental factors, children who constantly use the community children centers were more likely to increase academic performance and school adaptation. However, no significant results were found for aggression and delinquent behaviors. Based on these findings, this study have suggested the future direction of the community children center.

The multipath propagation loss analysis of dynamic telemetry link using the 3D antenna pattern (3차원 안테나 패턴을 사용한 동적 원격측정링크의 다중경로 전파손실 분석)

  • Kim, Kyun-Hoi;Shin, Seok-Hyun;Koh, Kwang-Ryul;Yun, Jung-Kug
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • 제39권3호
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    • pp.254-260
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    • 2011
  • Telemetry link is dynamic communication link that antenna gain and polarization are varying with the movement of the airplane. In this paper we calculated the antenna gain, polarization mismatch using the flight trajectory, motion of the airplane and 3D antenna pattern. And we modeled the multipath environment to the 2-Ray spherical earth reflection geometry, estimated the received signal strength when the narrow beam antenna received the RF signal transmitted from the airplane. Also we performed the flight test and after comparing measured value with the estimated value, we confirmed to almost coincide with each other.

West seacoast wetland monitoring using KOMPSAT series imageries in high spatial resolution (고해상도 KOMPSAT 시리즈 이미지를 활용한 서해연안 습지 변화 모니터링)

  • Sunwoo, Wooyeon;Kim, Daeun;Kim, Seongkyun;Choi, Minha
    • Journal of Korea Water Resources Association
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    • 제50권6호
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    • pp.429-440
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    • 2017
  • A series of multispectral high-resolution Korean Multi-Purpose Satellite (KOMPSAT) images were analyzed to detect the geographical changes in four different tidal flats in the west coast of South Korea. The method of unsupervised classification was used to generate a series of land use/land cover (LULC) maps from the satellite images, which were used as the input of the temporal trajectory analysis to detect the temporal change of coastal wetlands and its association with natural and anthropogenic activities. The accurately classified LULC maps extracted from the KOMPSAT images indicate that these multispectral high-resolution satellite data is highly applicable to generate good quality thematic maps for extracting wetlands. The result of the trajectory analysis showed that, while the tidal flat area of Gyeonggi and Jeollabuk provinces was estimated to have changed due to tidal effects, the reductive trajectory of the wetland areas belonging to the Saemangeum province was caused by a high degree of human-induced activities including large reclamation and urbanization. The conservation of the Jeungdo Wetland Protected Area in Jeollanam province revealed that the social and environmental policies can effectively protect coastal wetlands from degradation. Therefore, monitoring for wetland change using high resolution KOMPSAT is expected to be useful to coastal environment management and policy making.

Changes in cognitive function and functional disability in older adults - Comparison of groups converted and not converted to dementia among cognitively normal older adults - (노년기 인지기능과 일상생활기능장애 변화에 대한 연구 - 치매발생집단과 정상유지집단 간 차이 -)

  • Lee, Hyun Joo
    • Korean Journal of Social Welfare Studies
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    • 제44권2호
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    • pp.327-358
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    • 2013
  • This study aimed to analyze the trajectories of cognitive function and functional disability, and to identify the impacts of socio-demographic factors on the two variables. Based on the assumption that there are differences according to the progress of cognitive impairment, it focused on examining the differences in trajectories of cognitive function and functional disability between two groups: dementia conversion group and dementia non-conversion group among cognitively normal older adults. This study was conducted based on the data from a 3-wave panel study of a sample of 966 Yeoncheon elderly cohort aged 65 and over between 1997 and 2003. Latent growth curve model and multi-group structural equation modeling were used to examine the hypothesis. Results revealed that dementia conversion group exhibited faster rate of cognitive decline as well as lower initial cognitive level. Difference between two groups was not significant in the initial level of functional disability, yet dementia conversion group showed greater degree of deterioration in the functional disability over time than dementia non-conversion group did. In terms of the influence of socio-demographic factors on cognitive function and functional disability, the cognitive decline was more drastic in the female group, whereas functional decline was more apparent for the male group. The level of education in early life had a strong impact on the cognitive function in later life. Based on these findings, practical implication for high risk groups in cognitive function and functional disability were discussed.

Methods for Handling Incomplete Repeated Measures Data (불완전한 반복측정 자료의 보정방법)

  • Woo, Hae-Bong;Yoon, In-Jin
    • Survey Research
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    • 제9권2호
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    • pp.1-27
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    • 2008
  • Problems of incomplete data are pervasive in statistical analysis. In particular, incomplete data have been an important challenge in repeated measures studies. The objective of this study is to give a brief introduction to missing data mechanisms and conventional/recent missing data methods and to assess the performance of various missing data methods under ignorable and non-ignorable missingness mechanisms. Given the inadequate attention to longitudinal studies with missing data, this study applied recent advances in missing data methods to repeated measures models and investigated the performance of various missing data methods, such as FIML (Full Information Maximum Likelihood Estimation) and MICE(Multivariate Imputation by Chained Equations), under MCAR, MAR, and MNAR mechanisms. Overall, the results showed that listwise deletion and mean imputation performed poorly compared to other recommended missing data procedures. The better performance of EM, FIML, and MICE was more noticeable under MAR compared to MCAR. With the non-ignorable missing data, this study showed that missing data methods did not perform well. In particular, this problem was noticeable in slope-related estimates. Therefore, this study suggests that if missing data are suspected to be non-ignorable, developmental research may underestimate true rates of change over the life course. This study also suggests that bias from non-ignorable missing data can be substantially reduced by considering rich information from variables related to missingness.

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Switching Positionality of Border Region as Exceptional Space (예외 공간으로서 접경지역의 위치성 전환)

  • Kim, Boo-Heon;Lee, Sung-Cheol
    • Journal of the Economic Geographical Society of Korea
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    • 제20권3호
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    • pp.267-286
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    • 2017
  • The main purpose of this paper is to identify the spatiality of North Korea and China border regions through investigating the exceptional characteristics of the regions with the concept of positionality, which allows us to realize the relative position between subject and object. Border regions could be identified appropriately by considering the concept of switching positionality, as it is a kind of multiple space in which its sudden closure and opening should be configured in accordance with geopolitical and geoeconomic changes centering around border line. The main arguments of this research concerned with border regions with the concept of switching positionality are fallen into three. Firstly, changes in border regions should be analyzed by investigating more broader contexts and conjunctural perspectives, and even an internal condition stemmed from locality. Secondly, trajectories of border regions could be analyzed by the assemblages of various powers. Finally, the positionality of economic actors should be examined by identifying dynamic relations between geoeconomics and geopolitics. In particular, the concept of positionality has led to a number of insights into discussions on time-space, and spatiality in relational-dialectical, socio-spatial, and power-topological perspectives. Based upon this concept of positionality, the research has identified exceptional characteristics in North Korea and China border regions. It argues that the exceptionality of the region has stemmed from the intersection between the unstability of geopolitical security and various geoeconomic benefits.