• Title/Summary/Keyword: template update

Search Result 16, Processing Time 0.024 seconds

Adaptive Update-Predict Structure Based on Template Matching Method in Wavelet Transform (템플릿 매칭 기반 적응적 갱신-예측 구조 웨이블렛 변환 기법)

  • Park, Sang-Jae;Kim, Sung-Jei;Choe, Yoon-Sik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2009.11a
    • /
    • pp.295-298
    • /
    • 2009
  • 웨이블렛 변환(Wavelet Transform)은 영상압축에 효율적인 방법으로 알려져 있으며 lifting scheme을 이용해서 쉽게 구현이 가능하다. 가장 널리 쓰이는 방법으로는 Daubechies 5/3 필터가 있고, 이를 바탕으로 하여 영상의 기하학적인 특성을 이용한 적응적 예측 방법이 많이 소개되었다. 본 논문에서는 적응적 예측을 위해 템플릿 매칭을 적용한 새로운 알고리즘을 제안하였다.

  • PDF

An algorithm for pattern recognition of multichannel ECG signals using AI (AI기법을 이용한 멀티채널 심전도신호의 패턴인식 알고리즘)

  • 신건수;이병채;황선철;이명호
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1990.10a
    • /
    • pp.575-579
    • /
    • 1990
  • This paper describes an algorithm that can efficiently analyze the multichannel ECG signal using the frame. The input is a set of significant features (points) which have been extracted from an original sampled signal by using the split-and-merge algorithm. A signal from each channel can be hierarchical ADN/OR graph on the basis of the priori knowledge for ECG signal. The search mechanisms with some heuristics and the mixed paradigms of data-driven hypothesis formation are used as the major control mechanisms. The mutual relations among features are also considered by evaluating a score based on the relational spectrum. For recognition of morphologies corresponding to OR nodes, an hypothesis modification strategy is used. Other techniques such as instance, priority update of prototypes, and template matching facility are also used. This algorithm exactly recognized the primary points and supporting points from the multichannel ECG signals.

  • PDF

Object Tracking based on Relaxed Inverse Sparse Representation

  • Zhang, Junxing;Bo, Chunjuan;Tang, Jianbo;Song, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.9 no.9
    • /
    • pp.3655-3671
    • /
    • 2015
  • In this paper, we develop a novel object tracking method based on sparse representation. First, we propose a relaxed sparse representation model, based on which the tracking problem is casted as an inverse sparse representation process. In this process, the target template is able to be sparsely approximated by all candidate samples. Second, we present an objective function that combines the sparse representation process of different fragments, the relaxed representation scheme and a weight reference prior. Based on some propositions, the proposed objective function can be solved by using an iteration algorithm. In addition, we design a tracking framework based on the proposed representation model and a simple online update manner. Finally, numerous experiments are conducted on some challenging sequences to compare our tracking method with some state-of-the-art ones. Both qualitative and quantitative results demonstrate that the proposed tracking method performs better than other competing algorithms.

Vision-based Localization for AUVs using Weighted Template Matching in a Structured Environment (구조화된 환경에서의 가중치 템플릿 매칭을 이용한 자율 수중 로봇의 비전 기반 위치 인식)

  • Kim, Donghoon;Lee, Donghwa;Myung, Hyun;Choi, Hyun-Taek
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.19 no.8
    • /
    • pp.667-675
    • /
    • 2013
  • This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, dead-reckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.

Mobile Message Platform Supporting Dynamic Services based on Templates (템플릿에 기반한 동적인 서비스를 지원하는 모바일 메시지 플랫폼)

  • Han, Hong-Taek;Kim, Nam-Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.12 no.2
    • /
    • pp.19-27
    • /
    • 2012
  • Although message services in mobile environments provide real-time transfer of various contents such as text, multimedia and location, they can't provide dynamic message services based on analysis of message contents. This paper proposes "message as a service" concept and presents the design methodology for a message platform. The message in this paper is composed of the data part and template part which is in charge of view and functional logic of contents. In addition, two parts of a message are transferred separately. If a terminal device stores message templates, message platform can transfer data part only and thus network traffic can be reduced. Besides an efficient network utilization, we can dynamically update message view and its functional logic by modifying templates.

A Comprehensive Computer Program for Monitor Unit Calculation and Beam Data Management: Independent Verification of Radiation Treatment Planning Systems (방사선치료계획시스템의 독립적 검증을 위한 선량 계산 및 빔데이터 관리 프로그램)

  • Kim, Hee-Jung;Park, Yang-Kyun;Park, Jong-Min;Choi, Chang-Heon;Kim, Jung-In;Lee, Sang-Won;Oh, Heon-Jin;Lim, Chun-Il;Kim, Il-Han;Ye, Sung-Joon
    • Progress in Medical Physics
    • /
    • v.19 no.4
    • /
    • pp.231-240
    • /
    • 2008
  • We developed a user-friendly program to independently verify monitor units (MUs) calculated by radiation treatment planning systems (RTPS), as well as to manage beam database in clinic. The off-axis factor, beam hardening effect, inhomogeneity correction, and the different depth correction were incorporated into the program algorithm to improve the accuracy in calculated MUs. A beam database in the program was supposed to use measured data from routine quality assurance (QA) processes for timely update. To enhance user's convenience, a graphic user interface (GUI) was developed by using Visual Basic for Application. In order to evaluate the accuracy of the program for various treatment conditions, the MU comparisons were made for 213 cases of phantom and for 108 cases of 17 patients treated by 3D conformal radiation therapy. The MUs calculated by the program and calculated by the RTPS showed a fair agreement within ${\pm}3%$ for the phantom and ${\pm}5%$ for the patient, except for the cases of extreme inhomogeneity. By using Visual Basic for Application and Microsoft Excel worksheet interface, the program can automatically generate beam data book for clinical reference and the comparison template for the beam data management. The program developed in this study can be used to verify the accuracy of RTPS for various treatment conditions and thus can be used as a tool of routine RTPS QA, as well as independent MU checks. In addition, its beam database management interface can update beam data periodically and thus can be used to monitor multiple beam databases efficiently.

  • PDF