• Title, Summary, Keyword: Mask Video

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Design of Real-time MR Contents using Substitute Videos of Vehicles and Background based on Black Box Video (블랙박스 영상 기반 차량 및 배경 대체 영상을 이용한 실시간 MR 콘텐츠의 설계)

  • Kim, Sung-Ho
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.213-218
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    • 2021
  • In this paper, we detect and track vehicles by type based on highway daytime driving videos taken with black boxes for vehicles. In addition, we design a real-time MR contents production method that can be newly created by placing substitute videos of each type of detected vehicles in the same location as the new background video. To detect and track vehicles by type, we use the YOLO algorithm. And we also use the mask technique based on RGB color for substitute videos of each type of vehicles detected. The size of the vehicle substitute videos to be used for MR content are substituted by the same size as the area size of the detected vehicles. In this paper, we confirm that real-time MR contents design is possible as a result of experiments and simulations and believe that It will be usefully utilized in the field of VR contents.

Tracking and Deflection Coil Design for Vertical Colour Selection

  • Wesenbeeck, R. Van;Skoric, B.;Ijzerman, W.;Krijn, M.;Engelaar, P.
    • 한국정보디스플레이학회:학술대회논문집
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    • pp.130-133
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    • 2003
  • Vertical Colour Selection (VCS) is an option for slim CRTs with increased sharpness and brightness. The direction of self-convergence of the DY is changed to vertical in order to obtain better spot uniformity, but the line scan direction remains horizontal. Hence, no video conversion is needed, contrary to transposed scan. In this paper we address two issues: First, there is a high risk of moire, since the scan lines and the phosphor stripes are parallel. We propose a feedback mechanism guiding the electron beams towards the middle of the mask slots. As positive side effects, the brightness is improved and the shadow mask can be made of a cheap type of steel. Secondly, VCS deflection coils have to satisfy different requirements than coils in ordinary CRTs. We discuss the design rules for self-convergent VCS coils and present simulation results.

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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.

An image data processing unit of efficient H/W structure for mask/logic operations (마스크/논리 연산에 효율적인 H/W 구조를 갖는 영상 데이터 처리장치)

  • 이상현;김진헌;박귀태
    • 제어로봇시스템학회:학술대회논문집
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    • pp.685-691
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    • 1993
  • This paper introduces a PC-based image data processing unit that is composed of preprocessor board and main processor board; The preprocessor contains Inmos A110 processor and efficient H/W architecture for fast mask/logic operations at the speed of video signal rate. It is controlled by the main processor which communicates with the host PC. The main processor board contains TI TMS320C31 digital signal processor, and can access the frame memory of the processor for extra S/W tasks. We test 3*3, 5*5 masks and logic operations on 386/486/DSP and compare the result with that of the proposed unit. The result shows ours are extremely faster than conventional CPU based approach, that is, over several hundred times faster than even DSP.

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Fall Situation Recognition by Body Centerline Detection using Deep Learning

  • Kim, Dong-hyeon;Lee, Dong-seok;Kwon, Soon-kak
    • Journal of Multimedia Information System
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    • v.7 no.4
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    • pp.257-262
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    • 2020
  • In this paper, a method of detecting the emergency situations such as body fall is proposed by using color images. We detect body areas and key parts of a body through a pre-learned Mask R-CNN in the images captured by a camera. Then we find the centerline of the body through the joint points of both shoulders and feet. Also, we calculate an angle to the center line and then calculate the amount of change in the angle per hour. If the angle change is more than a certain value, then it is decided as a suspected fall. Also, if the suspected fall state persists for more than a certain frame, then it is determined as a fall situation. Simulation results show that the proposed method can detect body fall situation accurately.

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 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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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.

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.