• Title/Summary/Keyword: surveillance camera

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Performance Analysis of Surveillance Camera System Based on Image Recognition Server (화상 인식 서버 기반 감시 카메라 시스템의 성능 분석)

  • Shqairat, Yara;Lee, Goo Yeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.816-818
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    • 2017
  • In this paper, we perform a performance analysis of a surveillance camera network system with an image recognition server based on frame discard rate and server utilization. Surveillance camera states are divided into recognition states and silence states to analyze the various parameters such as the optimum number of image frames and the optimum number of cameras based on the processing capacity of the server. The analyzed results will be useful for efficient operation of the evolving surveillance camera network systems.

Design of System for Control of Surveillance Camera with the Zigbee (Zigbee Protocol을 이용한 감시용 Camera Control System 설계)

  • Min, Chol;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.939-942
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    • 2005
  • According to a diversification of surveillance camera function, they have got to control the surveillance camera utilizing the controller or personal computer. The Method of solution is wired communications and wireless communications. But wired communications are a weak point because that need to use another cable and in case of communication system utilizing the Bluetooth universalized, there is the difficulty in the utility because electricity consumption is big. But the wireless communication utilizing the zigbee protocol is that electiricity consumption is more small than Bluetooth and reliability of data transmission is better. Therefore I designed system for control of surveillance camera with Zigbee protocol.

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Required Video Analytics and Event Processing Scenario at Large Scale Urban Transit Surveillance System (도시철도 종합감시시스템에서 요구되는 객체인식 기능 및 시나리오)

  • Park, Kwang-Young;Park, Goo-Man
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.3
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    • pp.63-69
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    • 2012
  • In this paper, we introduced design of intelligent surveillance camera system and typical event processing scenario for urban transit. To analyze video, we studied events that frequently occur in surveillance camera system. Event processing scenario is designed for seven representative situations(designated area intrusion, object abandon, object removal in designated area, object tracking, loitering and congestion measurement) in urban transit. Our system is optimized for low hardware complexity, real time processing and scenario dependent solution.

A Map-Based Boundray Input Method for Video Surveillance (영상 감시를 위한 지도기반 감시영역 입력 방법)

  • Kim, Jae-Hyeok;Maeng, Seung-Ryol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.1
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    • pp.418-424
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    • 2014
  • In this paper, we propose a boundary input method for video surveillance systems. Since intrusion of a moving object is decided by comparition of its position and the surveillance boundary, the boundary input method is a basic function in video surveillance. Previous methods are difficult to adapt to the change of surveillance environments such as the size of surveillance area, the number of cameras, and the position of cameras because those build up the surveillance boundary using the captured image in the center of each camera. In our approach, the whole surveillance boundary is once defined in the form of polygon based on the satellite map and transformed into each camera environment. Its characteristics is that the boundary input is independent from the surveillance environment. Given the position of a moving object, the time complexity of its intrusion detection shows O(n), where n is the number of polygon vertices. To verify our method, we implemented a 3D simulation and assured that the input boundary can be reused in each camera without any redefinition.

Verification of Camera-Image-Based Target-Tracking Algorithm for Mobile Surveillance Robot Using Virtual Simulation (가상 시뮬레이션을 이용한 기동형 경계 로봇의 영상 기반 목표추적 알고리즘 검증)

  • Lee, Dong-Youm;Seo, Bong-Cheol;Kim, Sung-Soo;Park, Sung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.11
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    • pp.1463-1471
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    • 2012
  • In this study, a 3-axis camera system design is proposed for application to an existing 2-axis surveillance robot. A camera-image-based target-tracking algorithm for this robot has also been proposed. The algorithm has been validated using a virtual simulation. In the algorithm, the heading direction vector of the camera system in the mobile surveillance robot is obtained by the position error between the center of the view finder and the center of the object in the camera image. By using the heading direction vector of the camera system, the desired pan and tilt angles for target-tracking and the desired roll angle for the stabilization of the camera image are obtained through inverse kinematics. The algorithm has been validated using a virtual simulation model based on MATLAB and ADAMS by checking the corresponding movement of the robot to the target motion and the virtual image error of the view finder.

Object Tracking & PTZ camera Control for Intelligent Surveillance System (지능형 감시 시스템을 위한 객체 추적 및 PTZ 카메라 제어)

  • Park, Ho-Sik;Hwang, Suen-Ki;Nam, Kee-Hwan;Bae, Cheol-Soo;Lee, Jin-Ki;Kim, Tae-Woo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.6 no.2
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    • pp.95-100
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    • 2013
  • Smart surveillance, is the use of automatic video analysis technologies in video surveillance applications. We present a robust object tracking method using pan-tilt-zoom camera for intelligent surveillance System, As the result of the experiment using 78 vehicle, the success rate of the tracking for moving object & non-moving object werw 97.4% and 91%. and 84.6%. the success rate o PTZ control for license plate image.

Object Tracking & PTZ camera Control for Intelligent Surveillance System (지능형 감시 시스템을 위한 객체 추적 및 PTZ 카메라 제어)

  • Lee, Young-Sik;Kim, Tae-Woo;Nam, Kee-Hwan;Park, Ho-Sik;Bae, Cheol-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.1 no.2
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    • pp.65-70
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    • 2008
  • Smart surveillance, is the use of automatic video analysis technologies in video surveillance applications. We present a robust object tracking method using pan-tilt-zoom camera for intelligent surveillance System, As the result of the experiment using 78 vehicle, the success rate of the tracking for moving object & non-moving object werw 97.4% and 91%. and 84.6%. the success rate o PTZ control for license plate image.

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A Real-time Audio Surveillance System Detecting and Localizing Dangerous Sounds for PTZ Camera Surveillance (PTZ 카메라 감시를 위한 실시간 위험 소리 검출 및 음원 방향 추정 소리 감시 시스템)

  • Nguyen, Viet Quoc;Kang, HoSeok;Chung, Sun-Tae;Cho, Seongwon
    • Journal of Korea Multimedia Society
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    • v.16 no.11
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    • pp.1272-1280
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    • 2013
  • In this paper, we propose an audio surveillance system which can detect and localize dangerous sounds in real-time. The location information about dangerous sounds can render a PTZ camera to be directed so as to catch a snapshot image about the dangerous sound source area and send it to clients instantly. The proposed audio surveillance system firstly detects foreground sounds based on adaptive Gaussian mixture background sound model, and classifies it into one of pre-trained classes of foreground dangerous sounds. For detected dangerous sounds, a sound source localization algorithm based on Dual delay-line algorithm is applied to localize the sound sources. Finally, the proposed system renders a PTZ camera to be oriented towards the dangerous sound source region, and take a snapshot against over the sound source region. Experiment results show that the proposed system can detect foreground dangerous sounds stably and classifies the detected foreground dangerous sounds into correct classes with a precision of 79% while the sound source localization can estimate orientation of the sound source with acceptably small error.

Object Tracking Framework of Video Surveillance System based on Non-overlapping Multi-camera (비겹침 다중 IP 카메라 기반 영상감시시스템의 객체추적 프레임워크)

  • Han, Min-Ho;Park, Su-Wan;Han, Jong-Wook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.6
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    • pp.141-152
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    • 2011
  • Growing efforts and interests of security techniques in a diverse surveillance environment, the intelligent surveillance system, which is capable of automatically detecting and tracking target objects in multi-cameras environment, is actively developing in a security community. In this paper, we propose an effective visual surveillance system that is avaliable to track objects continuously in multiple non-overlapped cameras. The proposed object tracking scheme consists of object tracking module and tracking management module, which are based on hand-off scheme and protocol. The object tracking module, runs on IP camera, provides object tracking information generation, object tracking information distribution and similarity comparison function. On the other hand, the tracking management module, runs on video control server, provides realtime object tracking reception, object tracking information retrieval and IP camera control functions. The proposed object tracking scheme allows comprehensive framework that can be used in a diverse range of application, because it doesn't rely on the particular surveillance system or object tracking techniques.

Real-time Tracking and Identification for Multi-Camera Surveillance System

  • Hong, Yo-Hoon;Song, Seung June;Rho, Jungkyu
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.16-22
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    • 2018
  • This paper presents a solution for personal profiling system based on user-oriented tracking. Here, we introduce a new way to identify and track humans by using two types of cameras: dome and face camera. Dome camera has a wide view angle so that it is suitable for tracking human movement in large area. However, it is difficult to identify a person only by using dome camera because it only sees the target from above. Thus, face camera is employed to obtain facial information for identifying a person. In addition, we also propose a new mechanism to locate human on targeted location by using grid-cell system. These result in a system which has the capability of maintaining human identity and tracking human activity (movement) effectively.