• Title, Summary, Keyword: Video Surveillance System

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Real-time video Surveillance System Design Proposal Using Abnormal Behavior Recognition Technology

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.120-123
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    • 2020
  • The surveillance system to prevent crime and accidents in advance has become a necessity, not an option in real life. Not only public institutions but also individuals are installing surveillance cameras to protect their property and privacy. However, since the installed surveillance camera cannot be monitored for 24 hours, the focus is on the technology that tracks the video after an accident occurs rather than prevention. In this paper, we propose a system model that monitors abnormal behaviors that may cause crimes through real-time video, and when a specific behavior occurs, the surveillance system automatically detects it and responds immediately through an alarm. We are a model that analyzes real-time images from surveillance cameras and uses I3D models from analysis servers to analyze abnormal behavior and deliver notifications to web servers and then to clients. If the system is implemented with the proposed model, immediate response can be expected when a crime occurs.

A Study on Optimization of Intelligent Video Surveillance System based on Embedded Module (임베디드 모듈 기반 지능형 영상감시 시스템의 최적화에 관한 연구)

  • Kim, Jin Su;Kim, Min-Gu;Pan, Sung Bum
    • Smart Media Journal
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    • v.7 no.2
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    • pp.40-46
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    • 2018
  • The conventional CCTV surveillance system for preventing accidents and incidents misses 95% of the data after 22 minutes where one person monitors multiple CCTV. To address this issue, researchers have studied the computer-based intelligent video surveillance system for notifying people of the abnormal situation. However, because the system is involved in the problems of power consumption and costs, the intelligent video surveillance system based on embedded modules has been studied. This paper implements the intelligent video surveillance system based on embedded modules for detecting intruders, detecting fires and detecting loitering, falling. Moreover, the algorithm and the embedded module optimization method are applied to implement real-time processing. The intelligent video surveillance system based on embedded modules is implemented in Raspberry Pi. The algorithm processing time is 0.95 seconds on Raspberry Pi before optimization, and 0.47 seconds on Raspberry Pi after optimization, reduced processing time by 50.52%. Therefore, this suggests real processing possibility of the intelligent video surveillance system based on the embedded modules is possible.

Implementation of Video Surveillance System with Motion Detection based on Network Camera Facilities (움직임 감지를 이용한 네트워크 카메라 기반 영상보안 시스템 구현)

  • Lee, Kyu-Woong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.169-177
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    • 2014
  • It is essential to support the image and video analysis technology such as motion detection since the DVR and NVR storage were adopted in the real time visual surveillance system. Especially the network camera would be popular as a video input device. The traditional CCTV that supports analog video data get be replaced by the network camera. In this paper, we present the design and implementation of video surveillance system that provides the real time motion detection by the video storage server. The mobile application also has been implemented in order to provides the retrieval functionality of image analysis results. We develop the video analysis server with open source library OpenCV and implement the daemon process for video input processing and real-time image analysis in our video surveillance system.

A Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems (대규모 종합감시시스템 환경에서의 비디오의 특징분석 기반 감시 알고리즘 선택 기법)

  • Park, Kwang-Young;Park, Goo-Man
    • Journal of Satellite, Information and Communications
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    • v.7 no.1
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    • pp.33-38
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    • 2012
  • In this paper we proposed an algorithm selection method based on the features of video inputs which are acquired from the large scale integrated surveillance system. The example of integrated surveillance system is the metro railway system. Automated surveillance system at large area saves the human resource and minimizes the non-observing spots. We have analyzed the input video under this system in order to apply adequate video analytics algorithms in each installing places and for each situation. Based on the analysis, we suggested event processing scenarios and video analytic algorithm selection.

System Realization for Video Surveillance with Interframe Probability Distribution Analysis

  • Kim, Ja-Hwan;Ryu, Kwang-Ryol;Hur, Chang-Woo;Sclabassi, Robert J.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.306-309
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    • 2008
  • A system realization for video surveillance with interframe probability distribution analysis is presented in this paper. The system design is based on a high performance DSP processor, video surveillance is implemented by analyzing interframe probability distribution for scanning objects in a restricted area and the video analysis algorithm is decided for forming a different image from the probability distribution of several frames compressed by the standardized JPEG. The algorithm processing time of D1($720{\times}480$) image per frame is 85ms.

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Video Surveillance System Design and Realization with Interframe Probability Distribution Analyzation (인터프레임 확률분포분석에 의한 비디오 감시 시스템 설계 구현)

  • Ryu, Kwang-Ryol;Kim, Ja-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1064-1069
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    • 2008
  • A system design and realization for video surveillance with interframe probability distribution analyzation is presented in this paper. The system design is based on a high performance DSP professor, video surveillance is implemented by analyzing interframe probability distribution using trivariate normal distribution(weight, mean, variance) for scanning objects in a restricted area and the video analysis algorithm is decided for forming a different image from the probability distribution of several frame compressed by the standardized JPEG. The system processing time of D1$(720{\times}480)$ image per frame is 85ms and enables to process the system at 12 frames per second. An object surveillance about the restricted area by rules is extracted to 100% unless object is moved faster.

Abnormal Situation Detection on Surveillance Video Using Object Detection and Action Recognition (객체 탐지와 행동인식을 이용한 영상내의 비정상적인 상황 탐지 네트워크)

  • Kim, Jeong-Hun;Choi, Jong-Hyeok;Park, Young-Ho;Nasridinov, Aziz
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.186-198
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    • 2021
  • Security control using surveillance cameras is established when people observe all surveillance videos directly. However, this task is labor-intensive and it is difficult to detect all abnormal situations. In this paper, we propose a deep neural network model, called AT-Net, that automatically detects abnormal situations in the surveillance video, and introduces an automatic video surveillance system developed based on this network model. In particular, AT-Net alleviates the ambiguity of existing abnormal situation detection methods by mapping features representing relationships between people and objects in surveillance video to the new tensor structure based on sparse coding. Through experiments on actual surveillance videos, AT-Net achieved an F1-score of about 89%, and improved abnormal situation detection performance by more than 25% compared to existing methods.

Design of Portable Intelligent Surveillance System based on Edge Cloud and Micro Cloud (에지 클라우드 및 마이크로 클라우드 기반의 이동형 지능 영상감시 시스템 설계)

  • Park, Sun;Cha, ByungRae;Kim, JongWon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.556-557
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    • 2019
  • The current video surveillance system is the third generation, and the video device has developed from low image quality to high image quality. The video surveillance solution has improved from the simple type to the intelligent type. However, as the equipment and technology for these video surveillance systems become more complicated and diversified, they are increasingly dependent on infrastructure, such as faster network speed and stable power supply. On the other hand, there is a growing need for video surveillance in areas where basic infrastructure is limited, such as power and communications. In this paper, we propose a system that can support intelligent video surveillance in a region where basic infrastructure is limited.

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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 Study on Analysis of Intelligent Video Surveillance Systems for Societal Security (사회안전을 위한 지능형 영상감시분석시스템)

  • Kang, Heau-Jo
    • Journal of Digital Contents Society
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    • v.17 no.4
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    • pp.273-278
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    • 2016
  • Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.