• 제목/요약/키워드: Multi-Templates

검색결과 37건 처리시간 0.021초

Object Tracking with the Multi-Templates Regression Model Based MS Algorithm

  • Zhang, Hua;Wang, Lijia
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1307-1317
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    • 2018
  • To deal with the problems of occlusion, pose variations and illumination changes in the object tracking system, a regression model weighted multi-templates mean-shift (MS) algorithm is proposed in this paper. Target templates and occlusion templates are extracted to compose a multi-templates set. Then, the MS algorithm is applied to the multi-templates set for obtaining the candidate areas. Moreover, a regression model is trained to estimate the Bhattacharyya coefficients between the templates and candidate areas. Finally, the geometric center of the tracked areas is considered as the object's position. The proposed algorithm is evaluated on several classical videos. The experimental results show that the regression model weighted multi-templates MS algorithm can track an object accurately in terms of occlusion, illumination changes and pose variations.

CFD용 전처리장치 개발 (DEVELOPMENT OF THE PRE-PROCESSOR FOR CFD)

  • 김사량
    • 한국전산유체공학회지
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    • 제18권2호
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    • pp.72-77
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    • 2013
  • The Pre-processor program for CFD is being developed using wxWidgets and OpenGL libraries. This program can be run on both Windows and Linux operating systems. Undergraduate students and beginners can learn and use this very easily by menu and templates. Until now, structured mesh can be created in Cartesian or Cylindrical coordinates. This program will be used easily to make various type of meshes using templates.

알루미나 형틀을 이용한 서로 다른 직경을 갖는 모양을 가진 탄소나노튜브의 합성 (Synthesis of Stepped Carbon Nanotubes in Anodic Aluminum Oxide Templates)

  • 임완순;조유석;최규석;김도진
    • 한국재료학회지
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    • 제14권9호
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    • pp.664-669
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    • 2004
  • Anodic aluminum oxide (AAO) with pores of various diameter, density, and thickness values was obtained through control of the anodization parameters including voltage, temperature, pore widening time, anodization time, etc. The pore diameter was controlled by a pore widening in an etchant, and alumina templates having stepped nano-channels were fabricated by repetition of anodization and pore widening processes. Stepped carbon nanotubes (CNTs) were then grown on the stepped AAO templates by pyrolysis of acetylene without using the catalyst. High-resolution transmission electron microscopy images revealed that CNTs have a multi-wall structure made of graphite flakes of several nm sizes. The current-voltage characteristic of the sloped and linear CNTs were also examined.

반도체 웨이퍼 ID 인식을 위한 다중템플릿형 영상분할 알고리즘 개발 (Development of a Multi-template type Image Segmentation Algorithm for the Recognition of Semiconductor Wafer ID)

  • 안인모
    • 전기학회논문지P
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    • 제55권4호
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    • pp.167-175
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    • 2006
  • This paper presents a method to segment semiconductor wafer ID on poor quality images. The method is based on multiple templates and normalized gray-level correlation (NGC) method. If the lighting condition is not so good and hence, we can not control the image quality, target image to be inspected presents poor quality ID and it is not easy to identify and then recognize the ID characters. Conventional several method to segment the interesting ID regions fails on the bad quality images. In this paper, we propose a multiple template method, which uses combinational relation of multiple templates from model templates to match several characters of the inspection images. To find out the optimal solution of multiple template model in ID regions, we introduce newly-developed snake algorithm. Experimental results using images from real FA environment are presented.

Self-Assembled Peptide Structures for Efficient Water Oxidation

  • Lee, Jae Hun;Lee, Jung Ho;Park, Yong Sun;Nam, Ki Tae
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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    • pp.280-280
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    • 2013
  • In green plants, energy generation is accomplished through light-harvesting photosystem, which utilize abundant visible light and multi-stepwise redox reaction to oxidize water and reduce NADP+, transferring electrons efficiently with active cofactors1. Inspired by natural photosynthesis, artificial solar water-splitting devices are being designed variously. However, the several approaches involving immobilization2, conjugation3, and surface modification4 still have limitations. We have made artificial photosynthesis templates by self-assembling tyrosine-based peptide to mimick photosystem II. Porphyrin sensitizer absorbing blue light strongly was conjugated with the templates and they were hybridized with cobalt oxide through the reduction of cobalt ions in an aqueous solution. The formation of hybrid templates was characterized using TEM, and their water oxidation performance was measured by fluorescence oxygen probe. Our results suggest that the bio-templated assembly of functional compounds has a great potential for artificial photosynthesis.

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다중 슬릿 구조화 광원을 이용한 곡판 측정장치 개발 (Development of a Measurement System for Curved Ship Hull Plates with Multi-Slit Structured Light)

  • 이현호;이돈진;허만주
    • 한국정밀공학회지
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    • 제30권3호
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    • pp.292-299
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    • 2013
  • The measurement in the manufacturing process of curved ship hull plates still depends on wooden templates as a standard instrument. The metrology-enabled automation in the shipbuilding process has been challenged instead of line measurement with wooden templates. The developed measurement system consists of a CCD camera, multiple structured laser sources and 3-DOF motion device. The system carries out measurement of curved profiles for large scale plates by an optical triangulation method. The results of experiment conducted in a manufacturing shop demonstrate the accurate and robust performance.

학습 가능한 실시간 다단위 신경 신호의 분류에 관한 연구 (Classification of Multi-Unit Neural Action Potential by Template Learning)

  • 김상돌;김경환;김성준
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.99-102
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    • 1997
  • A neural spike sorting technique has been developed that also has the capability of template learning. A system of software has been written that first obtains the templates by learning, and then performs the sorting of the spikes into single units. The spike sorting can be done in real time. The template learning consists of spike detection based on the discrete Haar transform (DHT), feature extraction by clustering of spike amplitude and duration, classification based on rms error, and fabrication of templates. The developed algorithms can be implemented into real time systems using digital signal processors.

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Improvement in ammonia gas sensing behavior by polypyrrole/multi-walled carbon nanotubes composites

  • Jang, Woo-Kyung;Yun, Ju-Mi;Kim, Hyung-Il;Lee, Young-Seak
    • Carbon letters
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    • 제13권2호
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    • pp.88-93
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    • 2012
  • Polypyrrole (PPy)/multi-walled carbon nanotubes (MWCNTs) composites were prepared by in situ polymerization of pyrrole on the surface of MWCNTs templates to improve the ammonia gas sensing properties. PPy morphologies, formed on the surface of MWCNTs, were investigated by field emission scanning electron microscopy. The thermal stabilities of the PPy/MWCNTs composites were improved as the content of MWCNTs increased due to the higher thermal stability of the MWCNTs. PPy/MWCNTs composites showed synergistic effects in improving the ammonia gas sensing properties, attributed to the combination of efficient electron transfer between PPy/MWCNTs composites and ammonia gas, and the reproducible electrical resistance variation on PPy during the gas sensing process.

Multi-feature local sparse representation for infrared pedestrian tracking

  • Wang, Xin;Xu, Lingling;Ning, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1464-1480
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    • 2019
  • Robust tracking of infrared (IR) pedestrian targets with various backgrounds, e.g. appearance changes, illumination variations, and background disturbances, is a great challenge in the infrared image processing field. In the paper, we address a new tracking method for IR pedestrian targets via multi-feature local sparse representation (SR), which consists of three important modules. In the first module, a multi-feature local SR model is constructed. Considering the characterization of infrared pedestrian targets, the gray and edge features are first extracted from all target templates, and then fused into the model learning process. In the second module, an effective tracker is proposed via the learned model. To improve the computational efficiency, a sliding window mechanism with multiple scales is first used to scan the current frame to sample the target candidates. Then, the candidates are recognized via sparse reconstruction residual analysis. In the third module, an adaptive dictionary update approach is designed to further improve the tracking performance. The results demonstrate that our method outperforms several classical methods for infrared pedestrian tracking.

4채널 뇌파를 이용한 쾌적성 평가에 관한 연구 (A Study on the Comfortableness Evaluation using 4-Channel EEGs)

  • 김흥환;김동준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.7-10
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    • 2002
  • This paper describes a method of comfortableness evaluation using 4-channel EEGs. The proposed method uses the linear predictor coefficients as EEG feature parameters and neural network as comfortableness pattern classifier. For subject independent system, multi-templates are stored and the most similar template can be selected. Changing the temperature and humidity conditions, 4-channel EEG signals for 10 subjects are collected. As a result, the developed algorithm showed about 66.7% performance in the comfortableness evaluation.

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