• 한국공간정보시스템학회:학술대회논문집
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• 2003.11a
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• pp.169-174
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• 2003

이동 객체에 대한 기존 최근접(nearest neighbor, NN) 질의 처리 기법들은 질의 궤적에 대해 연속적으로 정확하게, 질의와 가장 가까운 위치를 유지하면서 움직이는 최근접 객체를 선택할 수 있는 충분한 기준을 가지고 있지 못하다. 이 논문은 질의 객체와 데이터 객체가 모두 이동 객체인 경우에 가장 적합하게 사용되는 객체 궤적에 대한 연속적인 질의 처리를 통해 정확한 결과를 얻을 수 있는 새로운 최근접 질의 처리 기법, 연속 궤적 최근접 질의(CTNN, continuous trajectory nearest neighbor query)를 제안한다. 우리는 두 가지 Approximate, Exact CTNN 기법을 제안하며 이들은 모두 항해 시스템, 교통 통제 시스템, 물류정보 시스템 등 각종 위치 기반 서비스(L8S: location based services) 상에서 다양하게 사용될 수 있다. 이들은 이동 객체 궤적이 미리 알려져 있는 경우 그리고 질의와 데이터 객체가 모두 이동 객체인 경우에 가장 적합하다.

• 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.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.6
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• pp.502-511
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• 2016

Recently, many kind of smart projectiles are being developed. In case of smart projectile, studying in advance, it uses a navigation data acquired from the GNSS receiver to check its location on the geocentric(WGS84) coordinates and to estimate P.O.I(point of impact). However, because of various error inducing factors, the result of positioning involve some errors. We introduce the advanced algorithm for the reconstruction of a navigation trajectory using weighted PDOP, based on a simulated trajectory acquired from PRODAS. It is very fast and robust to noise and shows reliable output. It can be widely used to estimate an actual trajectory of a projectile.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.124-126
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• 2002

본 논문에서는 비디오 데이터가 지니는 이동 객체의 움직임 궤적(moving objects'trajectories)에 대해 유사 부분 움직임 궤적 검색을 효율적으로 지원하는 N-워핑(N-warping) 알고리즘을 제안한다. 제안하는 알고리즘은 기존의 시계열 데이터베이스에서 유사 서브시퀸스 검색을 위해 사용되었던 타임 워핑 변환 기법(time-warping transformation)을 변형란 알고리즘이다. 또한 제안하는 알고리즘은 움직임 궤적을 모델링하기 위해 사용되는 단일 속성(property)인 각도뿐만 아니라, 거리와 시간과 같은 다중 속성을 지원하며, 사용자 질의에 대해 유사 부분 움직임 궤적 검색을 가능하게 하는 근사 매칭(approximate matching)을 지원한다

• Archives of design research
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• v.18 no.4 s.62
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• pp.139-146
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• 2005

Animation works have been peformed by the objective sensitivity and experience so far. Software designs have been also manufactured based on intelligent data because they are easy to objectify and digitalize. In contrast, there are many elements, which human senses are hard to objectify and digitalize. This study investigates how to digitalize and objectify human senses and how to use them as the quantitative data and its subject is a flying path. In the experiment, this study collects some sensitive words for how human beings express the living path. The evaluation words for sensitivity through the collected sensitive words are extracted and the sketch images for the flying path are collected from the extracted evaluation words for sensitivity. Based on the collected sketch images, the samples of real moving image, which are the core of this study, are manufactured. Then, quantification theory III and I are used in order to analyze the correlation between the sensitive words representing the flying path and the samples of moving image. As a result, this study can figure out the structure of sensitive words and the samples of moving image and analyze the physical stimulating elements for the flying path. The flying path corresponds to the path that the object has passed. Some unique sensitive words are expressed by means of interacting some sensitive stimulating elements after looking at such a path. There are some elements that stimulate the senses and they include the physical elements such as speed, rotation, pattern and length of arc. The purpose of this study is to objectify and quantify the animation works that are created by animators' subjective thought and experience and to use them in animation works in the future.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.473-482
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• 2019

There have already been studies analyzing the trajectories of objects from data streams of moving objects. Among those studies, there are also studies to discover groups of objects that move together, called companion groups. Most studies to discover companion groups use existing clustering techniques to find groups of objects close to each other. However, these clustering-based methods are often difficult to find the right companion groups because the number of clusters is unpredictable in advance or the shape or size of clusters is hard to control. In this study, we propose a new method that discovers companion groups based on the distance specified by the user. The proposed method does not apply the existing clustering techniques but periodically determines the groups of objects close to each other, by using a technique that efficiently finds the groups of objects that exist within the user-specified distance. Furthermore, unlike the existing methods that return only companion groups and their trajectories, the proposed method also returns their appearance and disappearance time. Through various experiments, we show that the proposed method can detect companion groups correctly and very efficiently.

• Journal of KIISE:Databases
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• v.30 no.1
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• pp.14-26
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• 2003

Moving objects' trajectories play an important role in indexing video data on their content and semantics for content-based video retrieval. In this paper, we propose new similar sub-trajectory retrieval schemes based on k-warping algorithm for efficient retrieval on moving objects' trajectories in video data. The proposed schemes are fixed-replication similar sub-trajectory retrieval(FRSR) and variable-replication similar sub-trajectory retrieval(VRSR). The former can replicate motions with a fixed number for all motions being composed of the trajectory. The latter can replicate motions with a variable number. Our schemes support multiple properties including direction, distance, and time interval as well as a single property of direction, which is mainly used for modeling moving objects' trajectories. Finally, we show from our experiment that our schemes outperform Li's scheme(no-warping) and Shan's scheme(infinite-warping) in terns of precision and recall measures.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.201-203
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• 2013

본 논문에서는 SIFT 와 particle 특징 궤적을 이용한 새로운 행동 인식 시스템을 제안한다. 먼저, 영상에서 중요한 지역적 특징 정보를 얻기 위하여 SIFT 특징 점들을 탐지하고, 탐지한 특징 점들을 SIFT descriptor matching 기법을 이용하여 그 궤적을 추출한다. 또한, SIFT 특징 궤적들의 수량이 적은점과 영상내의 조명변화, 부분적 가려짐 등의 변화로 인해 SIFT 특징 궤적이 종종 없어지는 단점을 보완하기 위하여, SIFT 특징 궤적 주위에 particle 점들을 탐지하고, dense optical flow 기법을 기반으로 그 특징 궤적을 추출한다. 그리고 SIFT 와 particle 궤적의 중요도를 조절하기 위해 가중치를 부여한다. 제안한 행동 인식 시스템의 효율성을 범용 데이터 셋을 이용한 실험을 통해 증명하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.6
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• pp.594-599
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• 2008

Image data produced from ADD water-tunnel test are currently analyzed manually. The accuracy and elapsed time of this process can be determined by observers. In this paper, the algorithm based on MATLAB for improved image data processing and analysis is proposed. This algorithm consists of camera calibration, gray-level transformation, noise filtering and binarization in image preprocessing, vortex trajectory measurement in image analysis. Experimental results show that the proposed algorithm has better accuracy and execution speed than those of the existing methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1196-1198
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• 2015

최근 모바일 기기의 발전으로 사용자의 위치를 수집하고 분석하는 방법들이 연구되고 있다. 이러한 방법들 중 하나인 궤적 데이터 마이닝은 사용자의 궤적을 바탕으로 의미 있는 정보를 추출하기 위해 사용된다. 궤적 데이터 마이닝을 수행하기 위해서는 사용자의 GPS로그를 분석하여 Stay Point를 추출하는 과정이 선행되어야 한다. 기존의 Stay Point 추출 방법은 실내와 실외의 Stay Point를 구분하지 못한다. 본 논문에서는 기존의 Stay Point 알고리즘을 보완하기 위해 GPS 데이터 분포를 고려하여 실내에서 머무른 지점만을 추출하는 Stay Point 알고리즘을 제안한다.