• Title/Summary/Keyword: Real-Time Video Monitoring

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Development of Real-time TMS Video Monitoring System (TMS용 실시간 영상 모니터링 시스템의 개발)

  • Kwak, Doo-Sung;Kim, On;Cho, Ki-Ryang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.6
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    • pp.1072-1076
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    • 2009
  • This paper proposes a real time TMS real-time video monitoring system that emphasizes environmental accident precautions. In order to make up for the problems of the existing system, the digital numeric values of air pollution materials and video signals are displayed on the screen in this system. And through this process, air pollution can be monitored in real time. In tile system proposed in this paper, other relevant parts, as well as the managers and field operators of environmental parts, can also monitor the real time changes of air pollution.

Accuracy Improvement of Pig Detection using Image Processing and Deep Learning Techniques on an Embedded Board (임베디드 보드에서 영상 처리 및 딥러닝 기법을 혼용한 돼지 탐지 정확도 개선)

  • Yu, Seunghyun;Son, Seungwook;Ahn, Hanse;Lee, Sejun;Baek, Hwapyeong;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.25 no.4
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    • pp.583-599
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    • 2022
  • Although the object detection accuracy with a single image has been significantly improved with the advance of deep learning techniques, the detection accuracy for pig monitoring is challenged by occlusion problems due to a complex structure of a pig room such as food facility. These detection difficulties with a single image can be mitigated by using a video data. In this research, we propose a method in pig detection for video monitoring environment with a static camera. That is, by using both image processing and deep learning techniques, we can recognize a complex structure of a pig room and this information of the pig room can be utilized for improving the detection accuracy of pigs in the monitored pig room. Furthermore, we reduce the execution time overhead by applying a pruning technique for real-time video monitoring on an embedded board. Based on the experiment results with a video data set obtained from a commercial pig farm, we confirmed that the pigs could be detected more accurately in real-time, even on an embedded board.

In-service Real-time and Continuous Objective Video Quality Assessment for DTV Broadcasting

  • Han, Chan-Ho
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.50-55
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    • 2013
  • This article presents a simple and reasonable in-service, real-time, and continuous single-ended objective video quality assessment model for DTV broadcasting using a multiburst signal at the bottom of the transient effect area, similar to Vertical Interval Test Signals. The issue of in-service video-quality monitoring in DTV broadcasting is addressed, and an effective method of quality monitoring is presented. The proposed method is also implemented and tested in a range of situations using a simulated HDTV broadcasting network.

A Study of CCTV Video Tracking Technique to The Object Monitoring in The Automation Manufacturing Facilities (자동화 생산 시설물의 객체모니터링을 위한 CCTV 영상추적 기술에 관한 연구)

  • Seo, Won-Gi;Lee, Ju-Young;Park, Goo-Man;Shin, Jae-Kwon;Lee, Seung-Youn
    • Journal of Satellite, Information and Communications
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    • v.7 no.1
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    • pp.134-138
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    • 2012
  • In this paper, we implement the real-time status monitoring system to surveil the object in the automation manufacturing facilities and we propose the CCTV video tracking system using the video tracking filter to improve efficiency. To surveil the object in automation manufacturing facilities, we implement monitoring SW on the based of the video tracking filter instead of the general method for the video monitoring so the reliable monitoring based on the PC is possible efficiently. In addition, accessibility and convenience for administrator are improved as the real-time status confirmation function. Also, we conform the performance improvement effect through the performance analysis of the proposed monitoring system using the video tracking filter.

Drift error compensation for vision-based bridge deflection monitoring

  • Tian, Long;Zhang, Xiaohong;Pan, Bing
    • Smart Structures and Systems
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    • v.24 no.5
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    • pp.649-657
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    • 2019
  • Recently, an advanced video deflectometer based on the principle of off-axis digital image correlation was presented and advocated for remote and real-time deflection monitoring of large engineering structures. In engineering practice, measurement accuracy is one of the most important technical indicators of the video deflectometer. However, it has been observed in many outdoor experiments that data drift often presents in the measured deflection-time curves, which is caused by the instability of imaging system and the unavoidable influences of ambient interferences (e.g., ambient light changes, ambient temperature variations as well as ambient vibrations) in non-laboratory conditions. The non-ideal unstable imaging conditions seriously deteriorate the measurement accuracy of the video deflectometer. In this work, to perform high-accuracy deflection monitoring, potential sources for the drift error are analyzed, and a drift error model is established by considering these error sources. Based on this model, a simple, easy-to-implement yet effective reference point compensation method is proposed for real-time removal of the drift error in measured deflections. The practicality and effectiveness of the proposed method are demonstrated by in-situ deflection monitoring of railway and highway bridges.

Accurate Pig Detection for Video Monitoring Environment (비디오 모니터링 환경에서 정확한 돼지 탐지)

  • Ahn, Hanse;Son, Seungwook;Yu, Seunghyun;Suh, Yooil;Son, Junhyung;Lee, Sejun;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.24 no.7
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    • pp.890-902
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    • 2021
  • Although the object detection accuracy with still images has been significantly improved with the advance of deep learning techniques, the object detection problem with video data remains as a challenging problem due to the real-time requirement and accuracy drop with occlusion. In this research, we propose a method in pig detection for video monitoring environment. First, we determine a motion, from a video data obtained from a tilted-down-view camera, based on the average size of each pig at each location with the training data, and extract key frames based on the motion information. For each key frame, we then apply YOLO, which is known to have a superior trade-off between accuracy and execution speed among many deep learning-based object detectors, in order to get pig's bounding boxes. Finally, we merge the bounding boxes between consecutive key frames in order to reduce false positive and negative cases. Based on the experiment results with a video data set obtained from a pig farm, we confirmed that the pigs could be detected with an accuracy of 97% at a processing speed of 37fps.

Development of Machine Tool Monitoring System Using OPC (OPC를 이용한 공작 기계 감시 시스템의 개발)

  • Tae H.C.;Jeong Y.H.;Cho D.W.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.564-567
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    • 2005
  • For the application of monitoring system of the machine tool to industry, the requirements such as high reliability and low cost need to be satisfied. In this study, a reliable but inexpensive monitoring method for machine tool is introduced. To improve the monitoring reliability, several kinds of information related to machining and operation are selected; real-time video clip from USB camera, operation data and signal from CNC and feed motor torque. Especially, to improve the quality of real-time video clip, a camera housing is developed, it can significantly reduce the vibration effect and prevent from coolant and chip. The collected information are transferred to the monitoring terminals in remote sites using OPC and TCP/IP protocol over Ethernet, which give us convenience of development and interoperability.

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Performance Study on ZigBee-Based Wireless Personal Area Networks for Real-Time Health Monitoring

  • Koh, Bernard Kai-Ping;Kong, Peng-Yong
    • ETRI Journal
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    • v.28 no.4
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    • pp.537-540
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    • 2006
  • When multiple ZigBee wireless personal area networks (WPANs) are in close proximity to each other, contentions and collisions in transmissions will lead to increased packet delays. However, there is no existing study on how delay performance would be affected in a crowded real-life environment where each person walking down a busy street would be wearing a ZigBee WPAN. This letter studies the use of ZigBee WPANs in such a real-life environment for real-time heart beat monitoring. To be pragmatic, we derived a mobility pattern from the analysis of a real-life video trace. Then, we estimated the delay performance from the video trace by combining data collected from ZigBee experiments. The results show that the 300 ms packet delay requirement will not be met for only 11% of the time. When failure occurs, it will last for an average duration of 1.4 s.

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A Study on the design of Video Watermarking System for TV Advertisement Monitoring (TV광고 모니터링을 위한 비디오 워터마킹 시스템의 설계에 관한 연구)

  • Shin, Dong-Hwan;Kim, Sung-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.1
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    • pp.206-213
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    • 2007
  • In this paper, The monitoring system for TV advertisement is implemented using video watermark. The functions of the advertisement monitoring system are monitoring the time, length, and index of the on-air advertisement, saving the log data, and reporting the monitoring result. The performance of the video watermark used in this paper is tested for TV advertisement monitoring. This test includes LAB test and field test. LAB test is done in laboratory environment and field test in actually broadcasting environment. LAB test includes PSNR, distortion measure in image, and the watermark detection rate in the various attack environment such as AD/DA(analog to digital and digital to analog) conversion, noise addition, and MPEG compression. The result of LAB test is good for the TV advertisement monitoring. KOBACO and SBS are participated in the field test. The watermark detection rate is 100% in both the real-time processing and the saved the processing. The average deviation of the watermark detection time is 0.2 second, which is good because the permissible average error is 0.5 second.

Real-time Playback of a Windows based Multichannel Visual Monitoring System (윈도우즈 기반 다채널 영상 감시 시스템의 실시간 재생)

  • 양정훈;정선태
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2116-2119
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    • 2003
  • In this paper, we present a DirectShow-based retrieval and playback subsystem of DVR(Digital Video Recorder), which supports real-time playback of stored video data and synchronized playback among several video channel data. The effectiveness of out proposed design is verified through experiments with a DVR system implementing the proposed design.

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