• Title/Summary/Keyword: Video Surveillance System

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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.

A new IP-based Multi-Channel Elevator Video Surveillance System (IP 기반의 다채널 엘리베이터 영상감시 시스템)

  • Shin, Jea-Hung;Kim, Hong-Ryul
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.4
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    • pp.164-168
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    • 2013
  • Recently, in the elevator of the buildings, such as apartment and office building, the visitor monitoring cameras for surveillance, advertising LCD to provide a variety of information, emergency call devices, and safe driving information sensors are installed. A variety of multimedia data from these devices to the central control office, management office, or to guard room are transmitted in real-time. Each sub-systems in the elevator are installed with a separate lines and operated independently and use different management principals, so integrated management for each sub-systems are very difficult. In this study, we develop a new IP-based multi-channel video surveillance system which is integrated surveillance camera, emergency call devices, communications devices, various sensors in the elevator, DVR, ODM, and can manage all devices by two-way communication and integrated interface. And we evaluated the performance of the developed system.

Video Surveillance System for Smart Management Disaster and Applications (스마트 재난관리 영상감시시스템과 적용)

  • Kang, Heau-Jo
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.1234-1240
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    • 2011
  • Recently lots of problems are emerged on the conventional surveillance systems at several areas. Many research activities have been processing on those problems. Therefore, in this paper, it is helpful to all sorts of accident prevention and safe driving, and risks linked to the outside or the administrator tells, that intelligent video surveillance system which can be real-time analysis and monitoring configuration, technical elements, required features, application and its applies.

An effective indoor video surveillance system based on wide baseline cameras (Wide baseline 카메라 기반의 효과적인 실내공간 감시시스템)

  • Kim, Woong-Chang;Kim, Seung-Kyun;Choi, Kang-A;Jung, June-Young;Ko, Sung-Jea
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.317-323
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    • 2010
  • The video surveillance system is adopted in many places due to its efficiency and constancy in monitoring a specific area over a long period of time. However, many surveillance systems composed of a single static camera often produce unsatisfactory results due to their lack of field of view. In this paper, we present a video surveillance system based on wide baseline stereo cameras to overcome the limitation. We adopt the codebook algorithm and mathematical morphology to robustly model the foreground pixels of the moving object in the scene and calculate the trajectory of the moving object via 3D reconstruction. The experimental results show that the proposed system detects a moving object and generates a top view trajectory successfully to track the location of the object in the world coordinates.

A Design and Implementation of Streamer for Real-Time Wireless Video Surveillance System (실시간 무선 영상 감시시스템을 위한 Streamer의 설계 및 구현)

  • Lee, Jin-Young;Kim, Heung-Jun;Lee, Kwang-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.2
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    • pp.248-256
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    • 2007
  • Recently, the network Infrastructure grows rapidly and the digital image compression technique has made remarkable progress. Therefore, the demand of the real-time image surveillance system which uses a network camera server has been increasing. Network Camera Server has emerged as an attractive alternative to the CCTV for the wireless video surveillance. In this article, the model of JPEG Streamer for collecting and delivering JPEG image is designed and realized as a key module for the wireless video surveillance system. The thread pool and shared memory have been used to improve the stability and efficiency of the JPEG Streamer. In addition, the concept of double buffering is of much benefit to improve the quality of real-time image. In this article, the wireless video surveillance system by using JPEG Streamer is suggested to send the real-time image through the wireless internet with the personal digital assistance (PDA).

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.

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.

Unusual Behavior Detection of Korean Cows using Motion Vector and SVDD in Video Surveillance System (움직임 벡터와 SVDD를 이용한 영상 감시 시스템에서 한우의 특이 행동 탐지)

  • Oh, Seunggeun;Park, Daihee;Chang, Honghee;Chung, Yongwha
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.11
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    • pp.795-800
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    • 2013
  • Early detection of oestrus in Korean cows is one of the important issues in maximizing the economic benefit. Although various methods have been proposed, we still need to improve the performance of the oestrus detection system. In this paper, we propose a video surveillance system which can detect unusual behavior of multiple cows including the mounting activity. The unusual behavior detection is to detect the dangerous or abnormal situations of cows in video coming in real time from a surveillance camera promptly and correctly. The prototype system for unusual behavior detection gets an input video from a fixed location camera, and uses the motion vector to represent the motion information of cows in video, and finally selects a SVDD (one of the most well-known types of one-class SVM) as a detector by reinterpreting the unusual behavior into an one class decision problem from the practical points of view. The experimental results with the videos obtained from a farm located in Jinju illustrate the efficiency of the proposed method.

Real-Time Pig Segmentation for Individual Pig Monitoring in a Weaning Pig Room (이유자돈사에서 개별 돼지 모니터링을 위한 실시간 돼지 구분)

  • Ju, Miso;Baek, Hansol;Sa, Jaewon;Kim, Heegon;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.215-223
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    • 2016
  • To reduce huge losses in pig farms, weaning pigs with weak immune systems are required to be carefully supervised. Even if various researches have been performed for livestock monitoring environment, segmenting each pig from touching pigs is still entrenched as a difficult problem. In this paper, we propose a real-time segmentation method for moving pigs by using motion information in a 24-h video surveillance system. The experimental results with the videos obtained from a domestic pig farm illustrated the possibility for segmenting by using our proposed method in real-time.

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.