• Journal of Korea Water Resources Association
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• v.54 no.11
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• pp.933-942
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• 2021

The surface image velocimetry was developed to measure river flow velocity safely and effectively in flood season. There are a couple of methods in the surface image velocimetry. Among them the spatio-temporal image velocimetry is in the spotlight, since it can estimate mean velocity for a period of time. For the spatio-temporal image velocimetry analyzes a series of images all at once, it can reduce analyzing time so much. It, however, has a little drawback to find out the main flow direction. If the direction of spatio-temporal image does not coincide to the main flow direction, it may cause singnificant error in velocity. The present study aims to propose a new method to find out the main flow direction by using a fast Fourier transform(FFT) to a spatio-temporal (image) volume, which were constructed by accumulating the river surface images along the time direction. The method consists of two steps; the first step for finding main flow direction in space image and the second step for calculating the velocity magnitude in main flow direction in spatio-temporal image. In the first step a time-accumulated image was made from the spatio-temporal volume along the time direction. We analyzed this time-accumulated image by using FFT and figured out the main flow direction from the transformed image. Then a spatio-temporal image in main flow direction was extracted from the spatio-temporal volume. Once again, the spatio-temporal image was analyzed by FFT and velocity magnitudes were calculated from the transformed image. The proposed method was applied to a series of artificial images for error analysis. It was shown that the proposed method could analyze two-dimensional flow field with fairly good accuracy.

• The KIPS Transactions:PartB
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• v.14B no.5
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• pp.351-360
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• 2007

Video Completion refers to a computer vision technique which restores damaged images by filling missing pixels with suitable color in a video sequence. We propose a new video completion technique to fill in image holes which are caused by removing an unnecessary object in a video sequence, where two objects cross each other in the presence of camera motion. We remove the closer object from a camera which results in image holes. Then these holes are filled by color information of some others frames. First of all, spatio-temporal volumes of occluding and occluded objects are created according to the centroid of the objects. Secondly, a temporal search technique by voxel matching separates and removes the occluding object. Finally. these holes are filled by using spatial search technique. Seams on the boundary of completed pixels we removed by a simple blending technique. Experimental results using real video sequences show that the proposed technique produces new completed videos.

• Journal of Korean Society on Water Environment
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• v.27 no.1
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• pp.9-18
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• 2011

In this study the optimal volume for non-point source control retention is estimated considering spatio-temporal variation of land surface. The 3-parameter mixed exponential probability density function is used to represent the statistical properties of rainfall events, and NRCS-CN method is applied as rainfall-runoff transformation. The catchment drainage area is divided into individual $30m{\times}30m$ cells, and runoff curve number is estimated at each cell. Using the derived probability density function theory, the stormwater probability density function at each cell is derived from the rainfall probability density function and NRCS-CN rainfall-runoff transformation. Considering the antecedent soil moisture condition at each cell and the spatial variation of CN value at the whole catchment drainage area, the ensemble stormwater capture curve is established to estimate the optimal volume for an non-point source control retention. The comparison between spatio-temporally varied land surface and constant land surface is presented as a case study for a urban drainage area.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.21-32
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• 2015

Since spatio-temporal local features for video representation have become an important issue of modeless bottom-up approaches in action recognition, various methods for feature extraction and description have been proposed in many papers. In particular, BoF(bag of features) has been promised coherent recognition results. The most important part for BoF is how to represent dynamic information of actions in videos. Most of existing BoF methods consider the video as a spatio-temporal volume and describe neighboring 3D interest points as complex volumetric patches. To simplify these complex 3D methods, this paper proposes a novel method that builds BoF representation as a way to learn 2D interest points directly from video data. The basic idea of proposed method is to gather feature points not only from 2D xy spatial planes of traditional frames, but from the 2D time axis called spatio-temporal frame as well. Such spatial-temporal features are able to capture dynamic information from the action videos and are well-suited to recognize human actions without need of 3D extensions for the feature descriptors. The spatio-temporal BoF approach using SIFT and SURF feature descriptors obtains good recognition rates on a well-known actions recognition dataset. Compared with more sophisticated scheme of 3D based HoG/HoF descriptors, proposed method is easier to compute and simpler to understand.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.281-286
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• 2007

비디오 복원(video completion)은 비디오 영상에서 색상값에 대한 정보가 없는 픽셀에 적절한 색을 채워 영상을 복원하는 기술이다. 본 논문에서는 움직이는 두 물체가 교차하는 입력영상으로부터 하나의 물체를 제거함으로 발생하는 홀(hole)을 채우는 비디오 복원 기술을 제안한다. 입력 영상에서의 두 물체 중 카메라와 가까운 물체를 제거함으로써 영상의 홀이 발생하게 되고, 이 홀을 다른 프레임들의 정보를 이용하여 채움으로써 가려진 물체를 복원한다. 모든 프레임에 대해 각 물체의 중심을 추정하여 물체의 중심을 기준으로 시-공간 볼륨(spatio-temporal volume)을 생성하고, 복셀 매칭(voxel matching)을 통한 시간적 탐색을 수행한 후 두 물체를 분리한다. 가리는 물체 영역으로 판단 된 부분을 삭제하고 공간적 탐색 방법을 이용하여 홀을 채워 가려짐이 있는 물체를 복원하는 과정을 소개한다. 실험 결과를 통해 제안한 기술이 비교적 자연스러운 결과를 얻을 수 있다는 것을 보여준다.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1839-1842
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• 2003

본 논문에서는 동영상 내 얼굴요약을 통하여 동영상의 접근성을 향상시키고자 하는 방법을 제안한다. 얼굴요약이란 동영상에 등장한 각 사람들을 한 장씩의 얼굴영상으로 요약하는 것을 말한다. 제안하는 얼굴요약 방법은 크게 얼굴그룹생성과 대표얼굴선정의 두 과정으로 이루어진다. 동영상에서의 얼굴그룹이란 한 사람의 얼굴영상들의 집합을 의미한다. 본 논문에서는 살색화소의 시공간에서의 연속성(spatio-temporal connectivity)및 얼굴검출기법을 이용하여 얼굴영상들을 사람에 따라 그룹화 한다. 대표얼굴이란 얼굴그룹에서 그 사람을 알아보는데 가장 적당한 얼굴영상이다. 본 논문에서는 크고 정면인 얼굴을 대표얼굴로 선정하는 방법을 제안한다. 실험결과에서는 제안한 기법을 이용하여 등장인물의 등퇴장이 빈번하게 발생할 경우에도 동영상을 얼굴 영상들로 요약할 수 있음을 보인다

• Korean Journal of Fisheries and Aquatic Sciences
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• v.47 no.3
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• pp.283-291
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• 2014

This study assessed dominant fish species, and the characteristics and spatio-temporal distribution of fish schools using acoustic and catch data in the marine ranching area (MRA) of Yeosu in July and August 2013. Acoustic data were collected using a 200-kHz dual beam transducer, and catch data were analyzed through auction data generated by a set net installed in the MRA. More fish schools were detected by acoustic methods in July than in August. The temporal distribution of fish schools differed between July and August, but, many schools demonstrated a high mean volume scattering strength (SV) around artificial reefs. Additionally, the characteristics of fish schools detected by echograms and the species caught by set nets differed between July and August. The dominant fish species were Engraulis japonicus, Pampus argenteus, Scomberomorus niphonius, and Pampus echinogaster in July, and approximately 85% of the catch in August consisted of Scomberomorus niphonius. Therefore, hydro-acoustic tools are useful for estimating fish school characteristics in large areas over a short period. To determine species, it is important to conduct net sampling surveys during the acoustic surveys. However, if a database of fish school characteristics organized by species is constructed through continuous study, it could be possible to identify fish species through acoustic methods alone.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.303-303
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• 2023

실용적인 표면영상유속계를 만들기 위해서는 적절한 하드웨어와 소프트웨어로 시스템을 구성해야 한다. 이를 위해서 본 연구에서는 하드웨어로 CCTV를 선택하고, 초음파 수위계를 이용하여 수위를 지속적으로 읽어들이도록 구성하였다. 한편, 소프트웨어적으로는 11변수 투영법을 적용하여 변화하는 수위에 따라 정확한 측정점을 재구성하도록 하고, 아울러 각 측정점에서 주흐름방향으로 정확한 시공간영상을 작성하고, 이 시공간영상(spatio-temporal image)들을 분석하였다. 그결과, 5분 간격으로 촬영된 1분 길이의 영상을 지속적으로 촬영하고 분석하여 유량을 산정하는 표면영상유속계측 시스템을 구축하였다. 본고에서는 이러한 소프트웨어 개선방향중 하나인 주흐름방향의 시공간영상 작성법을 소개한다. 먼저, 11변수 투영법을 이용하여 하천의 표면영상에 대한 좌표변환계수를 산정하였다. 그리고 이 좌표변환계수를 이용하여, 하천의 수위변화에 따라 표면영상내의 측정점이 적절히 수정될 수 있도록 하였다. 그 다음 이 측정점에서 측정횡단면과 수직이 되는 방향을 선정하고, 이 방향이 영상내에서 하천 측정횡단면과 수직인 방향, 즉 주흐름방향이 되도록 하였다. 촬영된 1분간의 동영상의 각 측정점 위치에서 잘라낸 시공간체적(spatio-temporal image volume)에서 주흐름방향의 시공간영상을 잘라내고 이를 상호상관법이나 고속푸리에변환을 이용하여 분석하였다. 이 때 만들어진 시공간영상은 주흐름방향과 정확하게 일치하여, 기존의 표면영상유속계의 문제이던, 일부 측정점의 유속벡터가 주흐름방향과 일치하지 않던 문제를 해결할 수 있었다. 개발된 방법으로 표면영상유속계를 제작하여 인수천에 시험 설치하고 호우 사상에 대해 검토한 결과 정확하고 신속하며 연속적인 유량측정이 가능하였다.

• Journal of Korean Society of Transportation
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• v.34 no.5
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• pp.377-393
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• 2016

Vehicle emissions have been known as a critical factor to give a negative impact on the public health. In particular, particulate matters(PM) and NOx are highly related with respiratory diseases such as asthma. This study aimed at analyzing spatio-temporal patterns of PM and NOx generated from urban freeway traffic. MOVES, which is a well-known emission analysis tool presented by US Environmental Protection Agency(EPA), was applied to estimate PM and NOx based on traffic volume and speed data obtained from Seoul Outer Ring Expressway during January~June, 2012. K-means clustering analysis was used for categorizing the Level of Vehicle Emissions(LOVE) to support more systematical identification of the significance of emissions. Then, spatio-temporal analyses of estimated emissions were conducted by LOVE. Finally, this study proposed a set of strategies to reduce both PM and NOx to enhance public health based on analysis results.

• Journal of Korea Water Resources Association
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• v.51 no.11
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• pp.977-987
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• 2018

The purpose of the water distribution system is gradually changing to increase the flexibility for responding to various abnormal situations. In addition, it is essential to improve resilience through preparing emergency plans against water supply failure. The most efficient way is emergency interconnections which supply water from interconnected adjacent blocks. To operate successful interconnections, it is essential to evaluate the supply performance in spatial and temporal aspects. The spatial and temporal aspects are dominated by its interconnected pipes and interconnected reservoirs respectively. In this study, an emergency interconnection scenario where problem occurred in reservoir 1 at 0:00hr in A city, Korea. An Advanced-Pressure Driven Analysis model was used to simulate the volume and inflow volume of the interconnected reservoirs. Based on the hydraulic analysis results, a multi-dimensional evaluation of the supply performance was conducted by applying possible water supply range indicator (PWSRI) and possible water supply temporal indicator (PWSTI) which are based on fuzzy membership functions. As a result, it was possible to evaluate the supply performance on the sides of consumers in spatio-temporal aspects and to review whether established plans mitigate the damage as intended. It is expected to be used for decision making on structural and non-structural emergency plan to improve the performance of an emergency interconnection.