• Title/Summary/Keyword: camera streaming

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Design and Implementation of the Digital Photo Frame based on Ubiquitous (유비쿼터스 기반 전자액자의 설계 및 구현)

  • Lee, Joa-Hyoung;Park, Chong-Myung;Heo, Nan-Sook;Jo, Young-Tae;Kwon, Young-Wan;Han, Woo-Ram;Seon, Ju-Ho;Kim, Jong-Wook;Yoo, Jae-Wook;Lee, Kang-Hee;Jung, In-Bum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.9
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    • pp.1703-1710
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    • 2008
  • As the performance of digital camera keeps going on, the digital camera becomes into wide use recently so that the number of digital images taken by digital camera is increased rapidly. Given the augmentation of digital images, the digital photo frame has appeared for storing and enjoying the digital image and receives attention as the price of digital frame becomes down. However, users with the existing digital frame only could display the digital images and stream media stored in local disk. In the paper, we design and implement a new digital photo frame baled on ubiquitous which could provide a more variety of service to the user. With the proposed digital photo frame, the user could obtain the environment information and the digital image from multimedia sensor network. The users also could enjoy the various stream media stored in the remote streaming server seamlessly. In addition, the user could update the digital image through the web site at anywhere.

Development of a Forest Fire Tracking and GIS Mapping Base on Live Streaming (실시간 영상 기반 산불 추적 및 매핑기법 개발)

  • Cho, In-Je;Kim, Gyou-Beom;Park, Beom-Sun
    • Journal of Convergence for Information Technology
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    • v.10 no.10
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    • pp.123-127
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    • 2020
  • In order to obtain the overall fire line information of medium and large forest fires at night, the ground control system was developed to determine whether forest fires occurred through real-time video clips and to calculate the location of the forest fires determined using the location of drones, angle information of video cameras, and altitude information on the map to reduce the time required for regular video matches obtained after the completion of the mission. To verify the reliability of the developed function, the error distance of the aiming position information of the flight altitude star and the image camera was measured, and the location information within the reliable range was displayed on the map. As the function developed in this paper allows real-time identification of multiple locations of forest fires, it is expected that overall fire line information for the establishment of forest fire extinguishing measures will be obtained more quickly.

Real-time Streaming and Remote Control for the Smart Door-Lock System based on Internet of Things (스마트 도어록 시스템을 위한 IoT 기반의 실시간 스트리밍 및 원격 제어)

  • Lee, Sung-Won;Yu, Je-Hun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.6
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    • pp.565-570
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    • 2015
  • In this paper, we implemented the smart door lock system that control remotely devices using the concept of internet of things. Internet of things is intelligent system that can help devices to communicate with people and devices. And recently internet of things is getting attention because of advance of hardware technology and big data. The smart doorlock system based on internet of things used raspberry pi, sensor and doorlock. Using the smart phone, doorlock can be controlled from the raspberry pi server. And the user can identify some people that is in front of doorlock. also user can check around of doorlock in realtime using the raspberry pi camera.

A Buffer Management Algorithm based on the GOP Pattern and the Importance of each Frame to Provide QoS for Streaming Services in WLAN (WLAN에서 스트리밍 서비스이 QoS를 제공하기 위한 GOP 패턴 및 프레임 중요도에 따른 버퍼 관리 기술)

  • Kim, Jae-Hyun;Lee, Hyun-Jin;Lee, Kyu-Hwan;Roh, Byeong-Hee
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.372-375
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    • 2008
  • IEEE 802.11e standardized the EDCA mechanism to support the priority based QoS. And the virtual collision handler schedules the transmission time of each MAC frame using the internal back-off window according to the access category(AC). This can provides the differentiated QoS to real-time services at the medium traffic load condition. However, the transmission delay of MAC frame for real-time services may be increased as the traffic load of best effort service increases. It becomes more critical when the real-time service uses a compressed mode video codec such as moving picture experts group(MPEG) 4 codec. That is because each frame has the different importance. That is, the I-frame has more information as compared with the P- and the B-frame. In this paper, we proposed a buffer management algorithm based on the frame importance and the delay bound. The proposed algorithm is consisted of the traffic regulator based on the dual token bucket algorithm and the active queue management algorithm. The traffic regulator reduces the transmission rate of lower AC until that the virtual collision handler can transmit an I-frame. And the active queue management discards frame based on the importance of each frame and the delay bound of head of line(HoL) frame when the channel resource is insufficient.

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Crowd Behavior Detection using Convolutional Neural Network (컨볼루션 뉴럴 네트워크를 이용한 군중 행동 감지)

  • Ullah, Waseem;Ullah, Fath U Min;Baik, Sung Wook;Lee, Mi Young
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.6
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    • pp.7-14
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    • 2019
  • The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

Efficient Video Service Providing Methods for Mobile of Indoor AP Terminals (실내 AP간 단말 이동에 따른 효율적인 동영상 서비스 제공 방안)

  • Hong, Sung-Hwa;Kim, Byoung-Kug
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.585-587
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    • 2022
  • The visual motivation between AP devices is NTP-based visual motivation through the access of the Internet through the internal wired LAN, but this has several seconds of visual difference in hundreds of milliseconds (msec) depending on the network. The frame for the output of the video will vary depending on the application, but usually 24 (image) frames are output to the screen in one second. Therefore, the visual synchronization between peripheral devices can be performed through the adjacent moving camera device, not the wired method. The programming method of generating API for synchronization command when creating an application for visual synchronization and delivering it to AP through MAC may differ from the time in synchronization command according to the environment of the operating system at the transmission side and the situation of the buffer queue of the MAC. Therefore, as a method to solve this problem, the renewal of visual information in the device driver terminal controlling MAC can be much more effective.

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Development of CCTV Cooperation Tracking System for Real-Time Crime Monitoring (실시간 범죄 모니터링을 위한 CCTV 협업 추적시스템 개발 연구)

  • Choi, Woo-Chul;Na, Joon-Yeop
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.546-554
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    • 2019
  • Typically, closed-circuit television (CCTV) monitoring is mainly used for post-processes (i.e. to provide evidence after an incident has occurred), but by using a streaming video feed, machine-based learning, and advanced image recognition techniques, current technology can be extended to respond to crimes or reports of missing persons in real time. The multi-CCTV cooperation technique developed in this study is a program model that delivers similarity information about a suspect (or moving object) extracted via CCTV at one location and sent to a monitoring agent to track the selected suspect or object when he, she, or it moves out of range to another CCTV camera. To improve the operating efficiency of local government CCTV control centers, we describe here the partial automation of a CCTV control system that currently relies upon monitoring by human agents. We envisage an integrated crime prevention service, which incorporates the cooperative CCTV network suggested in this study and that can easily be experienced by citizens in ways such as determining a precise individual location in real time and providing a crime prevention service linked to smartphones and/or crime prevention/safety information.

A Study on the Relationship between Camera and Subject for Visualization of Image - A Focus on the Status of Watch a Movie with Small Mobile Device - (영상의 시각화를 위한 카메라와 피사체의 상관관계 연구 - 스마트폰 사용자의 영상 시청 현황을 중심으로 -)

  • Ko, Hyun-Wook
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.119-126
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    • 2019
  • Watching movies is common on a big screen like a theater or on a big-screen TV. nowadays, small platform such as mobile devices is increasing rapidly for watch a movie. These changes are deeply related to the advent of Internet-based video streaming services such as OTT. OTT's development has provided in free video viewing system without using the set-top box is free from the limitations of time and space. Leading the market is Netflix[1], which started its business with Internet-based DVD rental service. Netflix, which is growing in tandem with the mobile market, had 193.26[2] million members as of the end of 2018. Other OTT participating companies include content-based Pooq, TVing, platform-based Olleh TV Mobile, Oksusu and LTE video portal. The size of such new growth projects has grown gradually, with 25.4 percent of all smartphone users currently watching video content with small mobile devices. Therefore, de-largeization, it is thought that visual language is needed for viewing small mobile devices that are capable of OTT services. To this end, this paper will identify the problem in viewing popular video content with small mobile devices and Survey and study its impact on viewers using the questionnaire.