• 제목, 요약, 키워드: Mask Video

검색결과 60건 처리시간 0.039초

개선된 다중 구간 샘플링 배경제거 알고리즘 (An Improved Multiple Interval Pixel Sampling based Background Subtraction Algorithm)

  • 무하마드 타릭 마흐무드;최영규
    • 반도체디스플레이기술학회지
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    • v.18 no.3
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    • pp.1-6
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    • 2019
  • Foreground/background segmentation in video sequences is often one of the first tasks in machine vision applications, making it a critical part of the system. In this paper, we present an improved sample-based technique that provides robust background image as well as segmentation mask. The conventional multiple interval sampling (MIS) algorithm have suffer from the unbalance of computation time per frame and the rapid change of confidence factor of background pixel. To balance the computation amount, a random-based pixel update scheme is proposed and a spatial and temporal smoothing technique is adopted to increase reliability of the confidence factor. The proposed method allows the sampling queue to have more dispersed data in time and space, and provides more continuous and reliable confidence factor. Experimental results revealed that our method works well to estimate stable background image and the foreground mask.

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대규모 비디오 감시 환경에서 프라이버시 보호를 위한 다중 레벨 특징 기반 얼굴검출 방법에 관한 연구 (Face Detection Using Multi-level Features for Privacy Protection in Large-scale Surveillance Video)

  • 이승호;문정익;김형일;노용만
    • 한국멀티미디어학회논문지
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    • v.18 no.11
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    • pp.1268-1280
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    • 2015
  • In video surveillance system, the exposure of a person's face is a serious threat to personal privacy. To protect the personal privacy in large amount of videos, an automatic face detection method is required to locate and mask the person's face. However, in real-world surveillance videos, the effectiveness of existing face detection methods could deteriorate due to large variations in facial appearance (e.g., facial pose, illumination etc.) or degraded face (e.g., occluded face, low-resolution face etc.). This paper proposes a new face detection method based on multi-level facial features. In a video frame, different kinds of spatial features are independently extracted, and analyzed, which could complement each other in the aforementioned challenges. Temporal domain analysis is also exploited to consolidate the proposed method. Experimental results show that, compared to competing methods, the proposed method is able to achieve very high recall rates while maintaining acceptable precision rates.

옵티컬 플로우와 마스킹에 의한 실시간 인터렉티브 비디오 개발 (Development of Interactive Video Using Real-time Optical Flow and Masking)

  • 김태희
    • 한국콘텐츠학회논문지
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    • v.11 no.6
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    • pp.98-105
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    • 2011
  • 최근의 기술발달은 개인용 컴퓨터를 이용하여 실시간 영상처리 및 특수효과 처리를 가능하게 하였다. 본 논문에서는 개인용 컴퓨터를 이용하여 제작하고 시연한 실시간 인터렉티브 비디오 시스템을 기술하고 분석한다. 본 작품의 동기는 해변에서 파도가 부서지는 시각적 모습으로 부터 파도소리를 대체하는 사운드를 생성하고 자연과 하나가 되어가는 경험을 제공하기 위한 것이다. 이를 위하여 해변의 모습을 촬영한 실사 영상을 컴퓨터 비젼 기법인 옵티컬 프로우(Optical Flow)에 의하여 처리함으로써 프레임간의 변화에 대한 정보를 얻어 이를 카메라에서 실시간으로 캡쳐 받은 관객의 실루엣 이미지와 마스킹(masking)에 의하여 결합하고 그 결과를 프로젝터를 통하여 보여준다. 결과 이미지의 특성을 반영하여 미디 피아노 사운드가 함께 생성된다. 이는 하나의 인터렉티브 비디오 작품으로써 의도된 개념을 반영하여 상호작용 공간을 창출한다.

머신비전을 이용한 판토그래프 습판 마모 측정에 있어서 우천으로 인한 영상노이즈 제거방법에 관한 연구 (A Study on the Elimination Method of Noise Image Caused by Rainfall Using Machine Vision)

  • 이성권;이대원;김길동
    • 한국철도학회논문집
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    • v.12 no.3
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    • pp.364-369
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    • 2009
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection doe to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

팬터그래프 습판마모의 머신 비젼 측정에서 우천시 발생하는 영상의 노이즈 제거방법에 대한 연구 (A Study on an Image Noise Erase Method By to be an Image Noise Frequent Occur for Raining, in Measurement Machine Vision System for using CCD Camera Of Pantograph Sliding Plate)

  • 이성권;이대원;강승욱;오상윤
    • 대한전기학회:학술대회논문집
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    • pp.191-193
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    • 2007
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection due to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

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국부 마스크의 에지 정보를 이용한 AWGN 제거 (AWGN Removal using Edge Information of Local Mask)

  • 권세익;김남호
    • 한국정보통신학회논문지
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    • v.21 no.1
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    • pp.130-136
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    • 2017
  • 최근, 디지털 영상처리 장치에 대한 수요가 급격히 증대되면서 영상의 우수한 화질이 요구되고 있다. 그러나 일반적으로 영상 데이터는 획득, 처리, 전송 과정에서 여러 외부 원인에 의해 영상의 열화가 발생되며, 영상 열화의 주된 원인은 잡음에 의한 것으로 알려져 있다. 영상에 첨가되는 잡음에는 다양한 종류가 있으며 AWGN이 대표적이다. 따라서 본 논문에서는 국부 마스크의 에지 정보를 이용하여 에지의 크기에 따라 세 가지 방법으로 처리하는 알고리즘을 제안하였다. 에지 화소들의 크기가 큰 경우, 에지 화소들의 방향에 대해 직선에 방정식에 따라 공간 가중치를 적용하여 처리하였으며 중간인 경우, 공간 가중치 필터 및 평균 필터, 평활한 영역에서는 평균 필터로 처리하는 알고리즘을 제안하였다.

Low-bit Rate H.264/AVC 비디오에 적합한 개선된 디블럭킹 알고리즘 (The Improved Deblocking Algorithm for Low-bit Rate H.264/AVC)

  • 권동진;곽내정;유성필
    • 한국콘텐츠학회:학술대회논문집
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    • pp.499-502
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    • 2006
  • H.264/MPEG4 Advanced Video coding joint standard 에서 복호기(디코더)의 디블럭킹 필터는 필요하다. 본 논문에서는 MPEG-4 비디오에서 낮은 비트율과 대역폭에서도 화질을 보장하는 개선된 디블럭킹 알고리즘을 제안한다. 제안된 디블럭킹 알고리즘은 간단한 shift, addition 그리고 comparison 만을 사용하기 때문에 복잡성이 줄어든다. 블록 왜곡의 유무를 판별하기 위해 마스크 블록의 경계강도를 구해 복잡영역, 중간영역 그리고 단순영역으로 분리해 처리한다 실험 결과, 본 논문에서 제안한 디블럭킹 알고리즘은 블록 왜곡이 줄어드는 것을 알 수 있다.

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3-DTIP: 깊이 데이터 기반 3차원 입체 TIP (3-DTIP: 3-D Stereoscopic Tour-Into-Picture Based on Depth Map)

  • 조철용;김제동;정다운;길종인;이광훈;김만배
    • 대한전자공학회:학술대회논문집
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    • pp.28-30
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    • 2009
  • This paper describes a 3-DTIP(3-D Tour Into Picture) using depth map for a Korean classical painting being composed of persons and landscape. Unlike conventional TIP methods providing 2-D image or video, our proposed TIP can provide users with 3-D stereoscopic contents. Navigating inside a picture provides more realistic and immersive perception. The method firstly makes depth map. Input data consists of foreground object, background image, depth map, foreground mask. Firstly we separate foreground object and background, make each of their depth map. Background is decomposed into polygons and assigned depth value to each vertexes. Then a polygon is decomposed into many triangles. Gouraud shading is used to make a final depth map. Navigating into a picture uses OpenGL library. Our proposed method was tested on "Danopungjun" and "Muyigido" that are famous paintings made in Chosun Dynasty. The stereoscopic video was proved to deliver new 3-D perception better than 2-D video.

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지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거 (An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance)

  • 응웬탄빈;정선태;조성원
    • 한국멀티미디어학회논문지
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    • v.17 no.4
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    • pp.420-432
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    • 2014
  • In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

예기치 못한 후두 입구 협착으로 인한 환기 부전 상황에서의 비디오 후두경의 유용성 1예 (A Case of Successful Use of C-MAC® Video Laryngoscope in 'Cannot Ventilate' Situation Due to Unexpected Severe Narrowing of Laryngeal Inlet)

  • 문정환;이선홍;강봉진
    • 대한후두음성언어의학회지
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    • v.27 no.2
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    • pp.122-125
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    • 2016
  • Although many factors associated with difficult intubation have been known, predictors of difficult mask ventilation are not well known. We experienced a case of nearly complete airway obstruction following usual anesthetic induction which needed various emergency treatments. The patient had a preoperative diagnosis of contact granuloma of right posterior vocal cord and bilateral vocal cord palsy but later was found out as invasive laryngeal cancer. Upon the surgical field of view, both vocal cords were showing significantly thickened and fixated appearance and was considered as in the critical narrowing state with the potential of complete obstruction. Using $C-MAC^{(R)}$ video laryngoscope we were able to see the narrowed vocal cord and choose proper size of endo-tracheal tube. Consequently, intubation was successfully done and operation was conducted. From this case, we have lessons that physicians should examine the patient's airway more carefully in case of laryngeal mass and prepare emergency measures.

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