• Title/Summary/Keyword: Multiple object association

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A Study on the Analysis of Architectural Interior Space through Movement System focused on Hyangdan and Kwankajung (운동체계에 의한 건축공간 분석에 관한 연구 -향단과 관가정의 안채$\cdot$사랑채 실내공간분석 -)

  • Lee Kum-Jin;Choi Dong Hyeog
    • Journal of the Korean housing association
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    • v.16 no.2
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    • pp.55-65
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    • 2005
  • 'Movement System' is made of the interaction of user and architectural spaces related to each other in order. 'Movement' meant in movement system is possible only in the status of user and architectural space together. Movement created and disappeared by the user is not subordinated to the existing architectural space but becomes the main element of formating movement system. It is required that movement conception applied to architecture should be derived from the essence of movement and this study presents the movement system. To explain the formating process of movement system, A. N. Whitehead's process philosophy theory is at the basis and transformed in architectural aspects. On basis of these theoretical backgrounds, the process of making movement system can be explained. There are unit movement, unit object, and elements for movement process as the basic requirements for movement system, each unit is apprehended by individual operation and the nexus is composed by associative operation of apprehended units. This nexus becomes the object of a new subject and forms multiple nexus. Relation of unit movement and unit object and nexus are apprehended as the continuation and extensive continuum is made. At that time, movement with multiple phases set inbetween systems and extended multiplied. Through above study, movement system is applied to Korean traditional houses.

Towards Real-time Multi-object Tracking in CPU Environment (CPU 환경에서의 실시간 동작을 위한 딥러닝 기반 다중 객체 추적 시스템)

  • Kim, Kyung Hun;Heo, Jun Ho;Kang, Suk-Ju
    • Journal of Broadcast Engineering
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    • v.25 no.2
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    • pp.192-199
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    • 2020
  • Recently, the utilization of the object tracking algorithm based on the deep learning model is increasing. A system for tracking multiple objects in an image is typically composed of a chain form of an object detection algorithm and an object tracking algorithm. However, chain-type systems composed of several modules require a high performance computing environment and have limitations in their application to actual applications. In this paper, we propose a method that enables real-time operation in low-performance computing environment by adjusting the computational process of object detection module in the object detection-tracking chain type system.

Problematized obesity and standardization of treatment: Multiple translation in lapband surgery network (문제화된 비만과 치료의 표준화 과정: 랩밴드 수술 연결망에서의 다중번역)

  • Han, Gwang Hee;Kim, Byoung Soo
    • Journal of Science and Technology Studies
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    • v.13 no.2
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    • pp.137-172
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    • 2013
  • Globally, awareness about obesity is increasing rapidly. In Korea, obesity is recognized as a disease and steps are being taken to treat it. From the health governance point of view, such standardized measures amplify the risk of obesity and thus play an important part in the prevention of the disease. In this context, various obesity treatments act as a medium for the problem-solving process. In recent years, obesity surgery has been viewed as a rational solution to the problem of obesity. In the context of standardization of treatment, Callon's "Process of Translation" in STS theories highlights the importance of the central actor (Obligatory Passage Point; OPP). However, in the case of obesity, it is difficult to identify a single OPP to project different perspectives of an actor's needs. "Lapband surgery" often acts as a "boundary object" in this context. This article assesses this absence of central actors in the process of problem solving through a case study of adoption of Lapband surgery in Korea. Further, we attempt to suggest an analytical framework with a boundary object and multiple translation concepts to aid solving the problem of obesity.

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A Study on a Feature-based Multiple Objects Tracking System (특징 기반 다중 물체 추적 시스템에 관한 연구)

  • Lee, Sang-Wook;Seol, Sung-Wook;Nam, Ki-Gon;Kwon, Tae-Ha
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.11
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    • pp.95-101
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    • 1999
  • In this paper, we propose an adaptive method of tracking multiple moving objects using contour and features in surrounding conditions. We use an adaptive background model for robust processing in surrounding conditions. Object segmentation model detects pixels thresholded from local difference image between background and current image and extracts connected regions. Data association problem is solved by using feature extraction and object recognition model in searching window. We use Kalman filters for real-time tracking. The results of simulation show that the proposed method is good for tracking multiple moving objects in highway image sequences.

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Object-oriented Prototype Framework For Tightly Coupled GIS-based Hydrologic Modeling (객체지향성 프로그래밍 방법을 통한 GIS 연계의 수문모델)

  • Kang, Kwang-Min;Rim, Chang-Soo;Yoon, Sei-Eui
    • Journal of Korea Water Resources Association
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    • v.45 no.6
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    • pp.597-606
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    • 2012
  • With the availability of multi-scale hydrologic data in public domain depending on DEM size, there is a need for a modeling framework that is capable of using these data to simulate hydrologic processes at multiple scales for different topographic and climate conditions for distributed hydrologic model. To address this need, an object-oriented approach, called Geographic and Hydrologic Information System Modeling Objects (GHISMO), is developed. Main hydrologic approaches in GHISMO are storage-release for direct runoff and SCS curve number method for infiltration part. This paper presents conceptual and structural framework of storage-release concept including its application to two watersheds will be presented.

Merge and Split of Players under MeanShift Tracking in Baseball Videos (야구 비디오에 대한 민시프트 추적 하에서 선수 병합 분리)

  • Choi, Hyeon-yeong;Hong, Sung-hwa;Ko, Jae-pil
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.119-125
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    • 2017
  • In this paper, we propose a method that merges and splits players in the MeanShift tracking framework. The MeanShift tracking moves the center of tracking window to the maximum probability location given the target probability distribution. This tracking method has been widely used for real-time tracking problems because of its fast processing speed. However, it hardly handles occlusions in multiple object tracking systems. Occlusions can be usually solved by applying data association methods. In this paper, we propose a method that can be applied before data association methods. The proposed method automatically merges and splits the overlapped players by adjusting the each player's tracking map. We have compared the tracking performance of the MeanSfhit tracking algorithm and the proposed method.

An Object Selection Method through Adaptive Casting in Immersive Virtual Reality (몰입 가상현실 환경에서 적응형 캐스팅을 통한 객체 선택 방법)

  • Lee, JunSong;Lee, Jun
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.666-673
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    • 2019
  • In the immersive virtual reality environment, we can select and manipulate various virtual objects. in order to select a virtual object, we generally use Ray-casting method that fires a virtual line in user's view and selects an object when the line and the object match, or Cone-casting method that is widely used to select multiple objects at the same time. However, since the virtual objects used in CAD are composed of small and complex objects in detail, when selecting an object in the user's view by existing methods, there occurs a ambiguity problem that needs additional realignment operation even though an object is selected as a group. in this paper, even if a virtual object is composed of several small virtual objects, it calculates the spatial and logical relationship among objects and expands or shrinks desired objects, so that the user can quickly and accurately select a desired object. in order to evaluate the proposed method, performance comparison were performed using Our and Ray-Casting and Cone-Casting methods. Experimental results show that the proposed method has the fastest speed and the highest accuracy when selecting the desired objects.

Contour and Feature Parameter Extraction for Moving Object Tracking in Traffic Scenes (도로영상에서 움직이는 물체 추적을 위한 윤곽선 및 특징 파라미터 추출)

  • Lee, Chul-Hun;Seol Sung-Wook;Joo Jae-Heum;Nam Ki-Gon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.1
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    • pp.11-20
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    • 2000
  • This paper presents the method of extracting the contour and shape parameters for moving object tracking in traffic scenes. The contour is extracted by applying difference image method in reduction image and the features are extracted from original image to grow the accuracy of tracking. We used features such as circle distribution, center moment, and maximum and minimum ratio. Data association problem is solved by these features. Kalman filters are used for moving object tracking on real time. The simulation results indicate that the proposed algorithm appears to generate feature vectors good enough for multiple vehicle tracking.

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Industrial Growth and Environmental Resource toward the Tax Potential: A Case Study in South Sulawesi Province

  • RUM, Muh.;KUSUMAWARDANI, Anisa
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.201-210
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    • 2020
  • This study aimed to analyze the influence of the industrial growth and the effect on government tax potential of the South Sulawesi Province. The growth of the tax object affects government tax potential of South Sulawesi Province. Environmental resources affect government tax potential of the province. The study used multiple linear regressions on primary data. The population consisted of all officers and staff involved in regional work units. Revenue Service area in South Sulawesi Province counts 630 employees. The sampling method is purposive sampling random carried out based on specific objectives. The respondent qualifications are taken from the Technical Implementation Unit Office and the Department of Revenue. The number of respondents is 96 from the Head of UPTD and three of them are related with tax Section Chief Officer. The results showed that industrial growth has a significant and positive effect on the potential increase in tax of South Sulawesi. Growth in tax object significantly affects the potential increasing tax of South Sulawesi. Environmental resources significantly affect the potential Increase in tax. Practical recommendations for local government is to enhance tax potential, reduce bureaucracy in industrial licensing, and facilitate local farmers to get involved in economic contributions.

Opto-Digital fingerprint identification system for security verification (안전 검증을 위한 광-디지탈 지문인식 시스템)

  • Seung Hyun Lee;Sang-Yi Yi;Hyung Ji Kim
    • Journal of the Korean Society of Safety
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    • v.11 no.2
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    • pp.143-149
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    • 1996
  • We propose an Opto-Digital hybrid fingerprint Identification system based on the binary phase extraction joint transform correlator(BPEJTC) for validation and security yerification. It is shown that since the BPEJTC provides higher peak-to-sidelobe ratio than that of the conventional JTC and does not cause correlation peaks due to intra-class association, this system is well-adaptive to the multiple object environments. Experimental results show that this system has a good performance in the presence of multiple images and the variations of the same person.

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