• Title/Summary/Keyword: 유사 궤적

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An Algorithm of Identifying Roaming Pedestrians' Trajectories using LiDAR Sensor (LiDAR 센서를 활용한 배회 동선 검출 알고리즘 개발)

  • Jeong, Eunbi;You, So-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.1-15
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    • 2017
  • Recently terrorism targets unspecified masses and causes massive destruction, which is so-called Super Terrorism. Many countries have tried hard to protect their citizens with various preparation and safety net. With inexpensive and advanced technologies of sensors, the surveillance systems have been paid attention, but few studies associated with the classification of the pedestrians' trajectories and the difference among themselves have attempted. Therefore, we collected individual trajectories at Samseoung Station using an analytical solution (system) of pedestrian trajectory by LiDAR sensor. Based on the collected trajectory data, a comprehensive framework of classifying the types of pedestrians' trajectories has been developed with data normalization and "trajectory association rule-based algorithm." As a result, trajectories with low similarity within the very same cluster is possibly detected.

Trajectory Optimization Method for Portrait Drawing Robot (초상화를 그리는 로봇을 위한 드로잉 경로 최적화 방법)

  • Lee, Geun-Joo;Kim, Sang-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1165-1168
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    • 2011
  • 본 연구는 휴머노이드 로봇 중에서 사람과 같은 방법으로 초상화를 그리는 로봇 암의 이동 궤적 최적화에 대해 기술한다. 이전에도 이러한 사람의 얼굴을 초상화로 그리는 로봇이 존재하였지만 대부분 인간과 유사한 움직임을 보이지 못하고 딱딱하고 단조로운 움직임을 보였다. 이런 단점을 보완하기 위해 가장 짧은 궤적을 찾는 알고리즘을 사용하여 보다 유연한 움직임을 구현하고, 초상화를 그리는 일련의 과정 중에서 입력된 영상을 가공하여 인간과 같이 그릴 수 있는 좌표를 효과적으로 정렬하고, 추출된 좌표를 바탕으로 로봇 암의 가장 빠르고 효율적인 이동궤적을 구한다.

Video Retrieval based on Objects Motion Trajectory (객체 이동 궤적 기반 비디오의 검색)

  • 유웅식;이규원;김재곤;김진웅;권오석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5B
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    • pp.913-924
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    • 2000
  • This paper proposes an efficient descriptor for objects motion trajectory and a video retrieval algorithm based on objects motion trajectory. The algorithm describes parameters with coefficients of 2-order polynomial for objects motion trajectory after segmentation of the object from the scene. The algorithm also identifies types, intervals, and magnitude of global motion caused by camera motion and indexes them with 6-affine parameters. This paper implements content-based video retrieval using similarity-match between indexed parameters and queried ones for objects motion trajectory. The proposed algorithm will support not only faster retrieval for general videos but efficient operation for unmanned video surveillance system.

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Surveillance Video Retrieval based on Object Motion Trajectory (물체의 움직임 궤적에 기반한 감시 비디오의 검색)

  • 정영기;이규원;호요성
    • Journal of Broadcast Engineering
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    • v.5 no.1
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    • pp.41-49
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    • 2000
  • In this paper, we propose a new method of indexing and searching based on object-specific features at different semantic levels for video retrieval. A moving trajectory model is used as an indexing key for accessing the individual object in the semantic level. By tracking individual objects with segmented data, we can generate motion trajectories and set model parameters using polynomial curve fitting. The proposed searching scheme supports various types of queries including query by example, query by sketch, and query on weighting parameters for event-based video retrieval. When retrieving the interested video clip, the system returns the best matching event in the similarity order.

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Trajectory Simulation of ASR Particles in Induction Electrostatic Separation (유도형 정전선별에서 ASR 입자의 궤적모사)

  • Kim, Beom-uk;Park, Chul-hyun
    • Resources Recycling
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    • v.28 no.6
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    • pp.96-105
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    • 2019
  • Automobile shredder residue (ASR) is the final waste produced when end-of-life vehicles (ELVs) are shredded. ASR can be separated using mineral-processing operations such as comminution, air classification, magnetic separation, and/or electrostatic separation. In this work, trajectory analyses of conductors (copper) and non-conductors (glass) in the ASR have been carried out using induction electrostatic separator for predicting or improving the ASR-separation efficiency. From results of trajectory analysis for conductors, the trajectories of copper wire by observation versus simulation for coarse particles of 0.5 and 0.25 mm showed consistent congruity. The observed 0.06 mm fine-particles trajectory was deflected toward the (-) attractive electrode owing to the charge-density effects due to the particle characteristics and relative humidity. In the case of non-conductors, the actual trajectory of dielectric glass deflected toward the (-) electrode, showing characteristics similar to those of conductive particles. The analyses of stereoscopic microscope and SEM & EDS found heterologous materials (fine ferrous particles and conductive organics) on the glass surface. This demonstrates the glass decreasing separation efficiency for non-ferrous metals during electrostatic separation for the recycling of ASR. Future work will require a pretreatment process for eliminating impurities from the glass and advanced trajectory-simulation processes.

Study of electrostatic electron lens (정전기 전자 렌즈의 특성연구)

  • 김영철;김대욱;안승준;김호섭
    • Proceedings of the Optical Society of Korea Conference
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    • 2003.02a
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    • pp.282-283
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    • 2003
  • 광학 렌즈가 빛의 경로에 영향을 주는 것처럼 전자 렌즈는 전자들의 궤적에 영향을 준다. 광학 렌즈의 효과와 전자 렌즈의 효과는 유사성이 매우 높으며 광학에서 사용하는 용어를 전자광학에서 그대로 쓸 뿐만이 아니라 이미 잘 알려져 있는 광학 렌즈에 대한 원리를 전자렌즈 연구에 활용하고 있다. 이러한 유사성에도 불구하고 빛과 전자 그리고 광학 렌즈와 전자 렌즈 사이에는 근본적으로 다른 점이 있기 때문에 전자 렌즈에 대한 체계적인 연구가 요구되고 있다. (중략)

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Searching Human Motion Data by Sketching 3D Trajectories (3차원 이동 궤적 묘사를 통한 인간 동작 데이터 검색)

  • Lee, Kang Hoon
    • Journal of the Korea Computer Graphics Society
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    • v.19 no.2
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    • pp.1-8
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    • 2013
  • Captured human motion data has been widely utilized for understanding the mechanism of human motion and synthesizing the animation of virtual characters. Searching for desired motions from given motion data is an important prerequisite of analyzing and editing those selected motions. This paper presents a new method of content-based motion retrieval without the need of additional metadata such as keywords. While existing search methods have focused on skeletal configurations of body pose or planar trajectories of locomotion, our method receives a three-dimensional trajectory as its input query and retrieves a set of motion intervals in which the trajectories of body parts such as hands, foods, and pelvis are similar to the input trajectory. In order to allow the user to intuitively sketch spatial trajectories, we used the Leap Motion controller that can precisely trace finger movements as the input device for our experiments. We have evaluated the effectiveness of our approach by conducting a user study in which the users search for dozens of pre-selected motions from baseketball motion data including a variety of moves such as dribbling and shooting.

Mobile Device User Trajectory Analysis and Route Recommendation Method based on Intersection Region Indexing (교차점 기반 구역 인덱싱을 이용한 모바일 장치 사용자 이동 궤적 분석 및 경로 추천 방법)

  • Kwak, Kwangjin;Kim, Jeongjoon
    • The Journal of the Convergence on Culture Technology
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    • v.1 no.1
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    • pp.79-85
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    • 2015
  • According to the growing use of the personal GPS in the mobile device recently, the LBS (Local bases service), which processes and refines the GPS information, such as a position-tracking service, a public safety service, a local based information service, has increased steadily. Due to the refraction or reflection of GPS, however, it is impossible to use GPS around or in buildings. Therefore, it is necessary to correct the errors of GPS. We propose the method which corrects the errors of GPS and creates the refined trajectory using intersection region indexing. After analyzing the trajectory, receiving trajectories from many people and identifying the similarity between of trajectories, we will recommend the favorite route and useful information such as restaurant, convenience store, bus station and emergency call service.

An Analysis of Similarity Measures for Area-based Multi-Image Matching (다중영상 영역기반 영상정합을 위한 유사성 측정방법 분석)

  • Noh, Myoung-Jong;Kim, Jung-Sub;Cho, Woo-Sug
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.2
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    • pp.143-152
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    • 2012
  • It is well-known that image matching is necessary for automatic generation of 3D data such as digital surface data from aerial images. Recently developed aerial digital cameras allow to capture multi-strip images with higher overlaps and less occluded areas than conventional analogue cameras and that much of researches on multi-image matching have been performed, particularly effective methods of measuring a similarity among multi-images using point features as well as linear features. This research aims to investigate similarity measuring methods such as SSD and SNCC incorporated into a area based multi-image matching method based on vertical line locus. In doing this, different similarity measuring entities such as grey value, grey value gradient, and average of grey value and its gradient are implemented and analyzed. Further, both dynamic and pre-fixed adaptive-window size are tested and analyzed in their behaviors in measuring similarity among multi-images. The aerial images used in the experiments were taken by a DMC aerial frame camera in three strips. The over-lap and side-lap are about 80% and 60%, respectively. In the experiment, it was found that the SNCC as similarity measuring method, the average of grey value and its gradient as similarity measuring entity, and dynamic adaptive-window size can be best fit to measuring area-based similarity in area based multi-image matching method based on vertical line locus.

e-Logistics System using Management of Moving Object Trajectory (이동 객체의 궤적 관리를 이용한 물류 관리 시스템)

  • Choi Byung-Kab;Lee Eung-Jae;Kim Sung-Ryong;Ryu Keun-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.75-78
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    • 2006
  • 이 논문은 이동 차량의 궤적 정보 관리를 통한 물류 관리 시스템을 제안한다. 물류 시스템은 물류 센터에서 차량과 배송 물품의 위치를 지속적으로 모니터링하고, 이와 연관된 서비스를 제공하는 시스템이다. 따라서 물류 차량의 실시간 위치 정보관리가 필수적이다. 제안된 시스템은 기존의 지리 정보와 더불어 실세계 모바일 환경에서 물류 배송 정보의 효율적 관리 기능을 지원한다. 또한 효과적인 물류 이동 경로 관리 및 검색을 위하여 시공간 색인 기법을 적용하였다. 제안된 시스템은 물류 관리 뿐만 아니라 이와 유사한 서비스를 제공하는 차량 추적 시스템, 위치 기반 서비스 등과 같이 모바일 환경에서 실시간으로 변화하는 관리 대상 객체의 위치 정보를 관리하는 분야에 적용 가능하다.

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