• Title/Summary/Keyword: 검출확률

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Automatic Panorama Image Generation Using Pose Estimation (포즈 예측을 이용하는 자동 파노라마 영상 생성)

  • Jeong, Da-Un;Kim, Man-Bae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.07a
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    • pp.312-314
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    • 2010
  • 본 논문에서는 하나의 카메라로 일정 영역에서 랜덤하게 촬영되어 얻어진 영상으로 파노라마 영상을 제작하는 방법을 제안한다. 실험 영상으로는 디지털카메라로 일정 영역을 랜덤하게 촬영한 여러 장의 영상을 사용한다. 여러 장의 영상에서 제어점이 될 특징 점들을 검출한 후, 유클리드의 좌표로 바꿔준다. 이 좌표들을 통해 각각의 제어 점에 가장 인접해 있는 좌표 4개를 추출한다. 이 인접 좌표들이 서로 다른 각각의 영상에서 매칭 되는 확률을 계산하여, 가장 높은 매칭 확률을 갖는 영상과 매칭 되는 pose값을 이용하여 각각의 영상을 회전 및 이동하여 매칭시킴으로써 촬영된 영상들의 파노라마 영상을 구현한다.

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Extraction Method of Face Area in Movie Using MRCNN (MRCNN을 이용한 영화속 등장인물 면적추출 방법)

  • Kim, Yeonghuh;You, Eun Soon;Kang, SooHwan;Park, Seung-Bo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.51-52
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    • 2019
  • 본 연구는 영화에 대한 정량적 분석을 위해 MRCNN을 활용한 영화 속 등장인물의 얼굴 면적을 검출하였다. MRCNN을 선택한 이유는 기존 얼굴 인식 시스템이 갖는 한계(뒷모습, 누워있는 모습의 측정 오류)의 개선과 면밀한 계산을 하고자 함이었다. 영화 한편에서 주인공과 상대주인공이 함께 등장한 씬을 선별한 726개의 이미지 중 496개의 이미지가 마스킹이 됨으로서 68%의 성능을 보였다. 반면에 230개의 이미지 파일에서는 다소 문제가 발견되어 32%의 오차가 발생했다. 오차를 개선하기 위해서 주요 인물을 학습시킨 뒤 마스킹을 씌우는 작업을 함으로써 현 확률보다 높은 확률로 정상적으로 이미지가 추출될 수 있도록 시험해 볼 것이다.

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Improvement of Detection Performance of Aerobic Exercises Using Machine Learning (머신 러닝 기반의 유산소 운동 검출 성능 개선)

  • Kim, Jiwoon;Kim, Dahui;Cha, Eunyoung;Kim, Jeongchang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.290-292
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    • 2021
  • 본 논문에서는 머신 러닝 (machine learning)을 이용하여 x, y, z 세 축의 가속도계 측정 값을 이용하여 5 가지 유산소 운동을 분류하는 알고리즘을 제시한다. 제안하는 알고리즘으로는 운동 데이터 각 샘플 마다 운동을 분류한 개별 판단, 판단된 데이터 샘플을 그룹 지어 판단하는 다수결 판단, 각 데이터 샘플의 분류하여 확률을 결합하는 확률 누적 판단이 있으며 이를 적용하여 5 가지 유산소 운동을 분류하고 성능을 비교한다.

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Realtime Facial Expression Data Tracking System using Color Information (컬러 정보를 이용한 실시간 표정 데이터 추적 시스템)

  • Lee, Yun-Jung;Kim, Young-Bong
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.159-170
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    • 2009
  • It is very important to extract the expression data and capture a face image from a video for online-based 3D face animation. In recently, there are many researches on vision-based approach that captures the expression of an actor in a video and applies them to 3D face model. In this paper, we propose an automatic data extraction system, which extracts and traces a face and expression data from realtime video inputs. The procedures of our system consist of three steps: face detection, face feature extraction, and face tracing. In face detection, we detect skin pixels using YCbCr skin color model and verifies the face area using Haar-based classifier. We use the brightness and color information for extracting the eyes and lips data related facial expression. We extract 10 feature points from eyes and lips area considering FAP defined in MPEG-4. Then, we trace the displacement of the extracted features from continuous frames using color probabilistic distribution model. The experiments showed that our system could trace the expression data to about 8fps.

An Efficient Method for Real-Time Broken Lane Tracking Using PHT and Least-Square Method (PHT와 최소자승법을 이용한 효율적인 실시간 점선차선 추적)

  • Xu, Sudan;Lee, Chang-Woo
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.6
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    • pp.619-623
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    • 2008
  • A lane detection system is one of the major components of intelligent vehicle systems. Difficulties in lane detection mainly come from not only various weather conditions but also a variety of special environment. This paper describes a simple and stable method for the broken lane tracking in various environments. Probabilistic Hough Transform (PHT) and the Least-square method (LSM) are used to track and correct the lane orientation. For the efficiency of the proposed method, two regions of interest (ROIs) are placed in the lower part of each image, where lane marking areas usually appear with less intervention in our system view. By testing in both a set of static images and video sequences, the experiments showed that the proposed approach yielded robust and reliable results.

A Study on Facial Wrinkle Detection using Active Appearance Models (AAM을 이용한 얼굴 주름 검출에 관한 연구)

  • Lee, Sang-Bum;Kim, Tae-Mook
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.239-245
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    • 2014
  • In this paper, a weighted value wrinkle detection method is suggested based on the analysis on the entire facial features such as face contour, face size, eyes and ears. Firstly, the main facial elements are detected with AAM method entirely from the input screen images. Such elements are mainly composed of shape-based and appearance methods. These are used for learning the facial model and for matching the face from new screen images based on the learned models. Secondly, the face and background are separated in the screen image. Four points with the biggest possibilities for wrinkling are selected from the face and high wrinkle weighted values are assigned to them. Finally, the wrinkles are detected by applying Canny edge algorithm for the interested points of weighted value. The suggested algorithm adopts various screen images for experiment. The experiments display the excellent results of face and wrinkle detection in the most of the screen images.

A Statistical Analysis of Edge Enhancing Filters and Their Effects on Edge Detection (에지개선 필터들의 통계적 분석과 에지검출에 대한 영향)

  • 박순영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.11
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    • pp.1635-1644
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    • 1993
  • In this paper, we examine the statistical characteristics of edge enhancing filters and their efficacy as preprocessing operator before edge detection. In particular, edge enhancing filters called the Comparison and Selection(CS), Hachimura-kuwahara(HK), and Selective Average(SA) filters are considered. These filters can reduce noise while producing step-type edges, thus seem to be effective for preprocessing noisy images prior to applying edge detecors. The ability of edge enhancing filters to suppress white Gaussian noise and the error probabilities occured during the edge detection following SA prefiltering are evaluated statistically through numerical analysis. The effect of prefiltering on edge detection is assessed by applying the edge enhancing fitters to a noise image degraded by additive white noise prior to applying the Sobel operator and the Laplacian of Gaussian( LoG ) operator, respectively. It is shown that the edge enhancing filters tend to produce ideal step-type edges while reducing the noise reasonably well, and the use of edge enhancing filters prior to edge detection can improve the performance of subsequent edge detector.

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Hybrid Fault Detection and Isolation Method for Inertial Sensors Using Unscented Kalman Filter (Unscented 칼만필터를 이용한 관성센서 복합 고장검출기법)

  • Park, Sang-Kyun;Kim, You-Dan;Park, Chan-Guk;Roh, Woong-Rae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.3
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    • pp.57-64
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    • 2005
  • In two-degree of freedom(TDOF) inertial sensors, two axes are mechanically correlated with each other. Fault source of one axis sensor may affect the other axis sensor, and therefore multiple fault detection and isolation(FDI) technique is required. Conventional FDI techniques using hardware redundancy need four TDOF inertial sensors for FDI. In this study, three TDOF inertial sensor redudancy case is considered, where conventional FDI technique can detect the fault, but cannot isolate the fault sensor. Hybrid FDI technique is proposed to solve this problem. Hybrid FDI technique utilizes the analytic redundancy by utilizing the unscented kalman filter as well as hardware redundancy for FDI. To verify the effectiveness of the proposed FDI technique, numerical simulations are performed using six degree of freedom nonlinear aircrft dynamics.

Multiuser Detection Combined with Soft Limiter in FH/MFSK System (연판정 리미터와 결합된 FH/MFSK 시스템의 다중사용자 검출 방법)

  • 은유창;송홍엽
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.4B
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    • pp.324-330
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    • 2002
  • In this paper, we proposed a simple modification on Fiebig's REC algorithm for multiuser detection of FH/MFSK systems replacing hard limiter with soft limiter. The performance improvement of our modified REC algorithm has been confirmed with computer simulations. for the parameter of interest, the capacity could be increased about 5% or more without degrading the reliability.

A Simple and Quantitative Method for the Enumeration of Total Coliforms and Escherichia coli

  • O, Gwan-Seok;Park, Tae-Hyeon
    • 한국생물공학회:학술대회논문집
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    • 2001.11a
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    • pp.815-818
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    • 2001
  • Indicator organisms are frequently used to monitor bacterial contamination of water. The most common indicator organisms used in water quality monitoring are coliforms and Escherichia coli. To develop a rapid and quantitative method for detecting the coliforms and E. coli in water, cell growth kinetics and defined substrate technology were applied in this study.

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