• Title, Summary, Keyword: Mask Video

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

  • Mahmood, Muhammad Tariq;Choi, Young Kyu
    • Journal of the Semiconductor & Display Technology
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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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Face Detection Using Multi-level Features for Privacy Protection in Large-scale Surveillance Video (대규모 비디오 감시 환경에서 프라이버시 보호를 위한 다중 레벨 특징 기반 얼굴검출 방법에 관한 연구)

  • Lee, Seung Ho;Moon, Jung Ik;Kim, Hyung-Il;Ro, Yong Man
    • Journal of Korea Multimedia Society
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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.

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

  • Kim, Tae-Hee
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.98-105
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    • 2011
  • Recent advances in computer technologies support real-time image processing and special effects on personal computers. This paper presents and analyzes a real-time interactive video system. The motivation of this work is to realize an artistic concept that aims at transforming the timeline visual variations in a video of sea water waves into sound in order to provide an audience with an experience of overlapping themselves onto the nature. In practice, the video of sea water waves taken on a beach is processed using an optical flow algorithm in order to extract the information of visual variations between the video frames. This is then masked by the silhouette of an audience and the result is projected on a gallery space. The intensity information is extracted from the resulting video and translated into piano sounds accordingly. This work generates an interactive space realizing the intended concept.

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

  • Lee, Seong-Gwon;Lee, Dae-Won;Kim, Gil-Dong
    • Journal of the Korean Society for Railway
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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.

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 (팬터그래프 습판마모의 머신 비젼 측정에서 우천시 발생하는 영상의 노이즈 제거방법에 대한 연구)

  • Lee, Seong-Gwon;Lee, Dae-Won;Kang, Seung-Wook;Oh, Sang-Yoon
    • Proceedings of the KIEE Conference
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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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AWGN Removal using Edge Information of Local Mask (국부 마스크의 에지 정보를 이용한 AWGN 제거)

  • Kwon, Se-Ik;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.130-136
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    • 2017
  • Recently, as demand of video processor unit rapidly increases, excellent quality of the video has been required. However, generally, video data occurs the quick flame of video due to various external causes in process of acquisition, treatment, and transmission, and major cause of the quick flame of the video is known as the noise. There are various kinds of noise, which are added to the video, AWGN is a typical one. Thus, this thesis suggested algorithm that treats in three methods by scale of the edge through using edge information of local masks. In case that edge pixel is big, it applied spatial weighting according to equation of straight line about direction of edge pixel. In case that edge pixel is middle, it suggested algorithm with spatial weighting filter and average filter, and for the smooth territory, it suggested algorithm that treats with average filter.

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

  • Kwon, Dong-Jin;Kwak, Nae-Joung;Ryu, Sung-Pil
    • Proceedings of the Korea Contents Association Conference
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    • pp.499-502
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    • 2006
  • H.264/MPEG4 Advanced Video coding joint standard needs deblocking filter of decoder. We propose a better deblocking algorithm ensuring picture quality even if it is low bit-rate and bandwidth in MPEG-4 video. The complexity diminishes in proposed deblocking algorithm because it uses only simple shift, addition and comparison. We handle dividing into complexity area, medium area and simple area after counting boundary intensity of mask block to identify presence of block effects. As a result of experiment, we make certain of that block effects reduces in proposed deblocking algorithm.

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

  • Jo, Cheol-Yong;Kim, Je-Dong;Jeong, Da-Un;Gil, Jong-In;Lee, Kwang-Hoon;Kim, Man-Bae
    • Proceedings of the IEEK Conference
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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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An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance (지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거)

  • Nguyen, Thanh Binh;Chung, Sun-Tae;Cho, Seongwon
    • Journal of Korea Multimedia Society
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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.

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

  • Moon, Jeong Hwan;Lee, Sun Hong;Kang, Bong Jin
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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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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