• Title/Summary/Keyword: Video Surveillance System

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Implementation of an Intelligent Video Surveillance System based on Digital Media Processor (디지털미디어프로세서 기반의 지능형 비디오 감시 시스템 구현)

  • Kim, Won-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.841-846
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    • 2010
  • This paper presents design and implementation of an intelligent video surveillance system. The proposed system has advantages of management efficiency and operation robustness unrelated to working condition compared to conventional CCTV based system. The system hardware is designed and implemented by using commercial chips such as digital media processor and video encoder, video decoder and the functions of software are to analyze temperature distribution of a infrared image and to detect disaster situation such as fire. The required functions are confirmed by testing of the prototype and we verified practicality of the system.

Face Information Conversion Mechanism to Prevent Privacy Infringement (프라이버시 침해 방지를 위한 얼굴 정보 변환 메커니즘)

  • Kim, Jinsu;Kim, Sangchoon;Park, Namje
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.6
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    • pp.115-122
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    • 2019
  • CCTV(Closed-Circuit Television) is increasingly exposed to CCTV per person as the number of installations increases every year for accident prevention and facility safety. The intelligent video surveillance system technology is attracting attention to the privacy protection of exposed subjects. The intelligent video surveillance system performs a process for the privacy protection so as to perform the action type of the subject and the judgment of the situation in the simple identification of the photographed image data, or to prevent the information, from which the information of the photographed subject is exposed. The proposed technique is applied to the video surveillance system and converts the original image information taken from the video surveillance system into similar image information so that the original image information is not leaked to the outside. In this paper, we propose an image conversion mechanism that inserts a virtual face image that approximates a preset similarity.

Implementation of Smart Video Surveillance System Based on Safety Map (안전지도와 연계한 지능형 영상보안 시스템 구현)

  • Park, Jang-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.1
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    • pp.169-174
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    • 2018
  • There are many CCTV cameras connected to the video surveillance and monitoring center for the safety of citizens, and it is difficult for a few monitoring agents to monitor many channels of videos. In this paper, we propose an intelligent video surveillance system utilizing a safety map to efficiently monitor many channels of CCTV camera videos. The safety map establishes the frequency of crime occurrence as a database, expresses the degree of crime risk and makes it possible for agents of the video surveillance center to pay attention when a woman enters the crime risk area. The proposed gender classification method is processed in the order of pedestrian detection, tracking and classification with deep training. The pedestrian detection and tracking uses Adaboost algorithm and probabilistic data association filter, respectively. In order to classify the gender of the pedestrian, relatively simple AlexNet is applied to determine gender. Experimental results show that the proposed gender classification method is more effective than the conventional algorithm. In addition, the results of implementation of intelligent video security system combined with safety map are introduced.

Dynamic / Static Object Segmentation and Visual Encryption Mechanism for Storage Space Management of Image Information (영상정보의 저장 공간 관리를 위한 동적/정적 객체 분리 및 시각암호화 메커니즘)

  • Kim, Jinsu;Park, Namje
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1199-1207
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    • 2019
  • Video surveillance data, which is used for preemptive or post-emptive action against any event or accident, is required for monitoring the location, but is reducing the capacity of the image data by removing intervals for cost reduction and system persistence. Such a video surveillance system is fixed in a certain position and monitors the area only within a limited angle, or monitors only the fixed area without changing the angle. At this time, the video surveillance system that is monitored only within a limited angle shows that the variation object such as the floating population shows different status in the image, and the background of the image maintains a generally constant appearance. The static objects in the image do not need to be stored in all the images, unlike the dynamic objects that must be continuously shot, and occupy a storage space other than the necessary ones. In this paper, we propose a mechanism to analyze the image, store only the small size image for the fixed background, and store it as image data only for variable objects.

WebCam : A Web-based Remote Recordable Surveillance System using Index Search Algorithm (웹캠 : 새로운 인데스검색 알고리듬을 이용한 웹기반 원격 녹화 보안 시스템)

  • Lee, Myeong-Ok;Lee, Eun-Mi
    • The KIPS Transactions:PartC
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    • v.9C no.1
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    • pp.9-16
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    • 2002
  • As existing analog video surveillance systems could save and retrieve data only in a limited space within short distance, it had many constraints in developing into various application systems. However, on the back of development of the Internet and computer technologies, digital video surveillance systems can be controlled from a remote location by web browser without space limits. Moreover, data compression and management technologies with Index Search algorithm make it possible to efficiently handling, storing, and retrieving a large amount of data and further motion detection algorithm enhances a recording speed and efficiency for a practical application, that is, a practical remote recordable video surveillance system using our efficient algorithms as mentioned, called WebCam. The WebCam server system can intelligently record and save video images digitized through efficient database management, monitor and control cameras in a remote place through user authentication, and search logs.

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.

Surveillance Video Summarization System based on Multi-person Tracking Status (다수 사람 추적상태에 따른 감시영상 요약 시스템)

  • Yoo, Ju Hee;Lee, Kyoung Mi
    • KIISE Transactions on Computing Practices
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    • v.22 no.2
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    • pp.61-68
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    • 2016
  • Surveillance cameras have been installed in many places because security and safety has become an important issue in modern society. However, watching surveillance videos and judging accidental situations is very labor-intensive and time-consuming. So now, requests for research to automatically analyze the surveillance videos is growing. In this paper, we propose a surveillance system to track multiple persons in videos and to summarize the videos based on tracking information. The proposed surveillance summarization system applies an adaptive illumination correction, subtracts the background, detects multiple persons, tracks the persons, and saves their tracking information in a database. The tracking information includes tracking one's path, their movement status, length of staying time at the location, enterance/exit times, and so on. The movement status is classified into six statuses(Enter, Stay, Slow, Normal, Fast, and Exit). This proposed summarization system provides a person's status as a graph in time and space and helps to quickly determine the status of the tracked person.

Study of Distributed Software for IP-Based Integrated Surveillance System (IP 방식의 종합감시 시스템을 위한 분산 소프트웨어 연구)

  • Song, Gyu-Youn;Ryu, Hee-Moon;An, Tae-Ki;Lee, Woo-Dong
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.363-370
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    • 2008
  • The surveillance system for urban transit now adapt the newest IT technology. The Surveillance system analyzes the video information from various cameras intelligently and determines the critical status automatically. Other sensors, for example fire sensor and audio sensor are used in the surveillance system for increasing the correctness of surveillance. The surveillance system tries to increase the performance of surveillance by gathering lots of information for the current situation and analyzing them intelligently. IP-Based Integrated system needs the distributed computer system with location and functions. For correctly running this system, a distributed software is needed. In this paper, we study the distributed software for IP-based integrated surveillance system. The required functions, safety and extendability are suggested.

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Removing Shadows for the Surveillance System Using a Video Camera (비디오 카메라를 이용한 감시 장치에서 그림자의 제거)

  • Kim, Jung-Dae;Do, Yong-Tae
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.176-178
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    • 2005
  • In the images of a video camera employed for surveillance, detecting targets by extracting foreground image is of great importance. The foreground regions detected, however, include not only moving targets but also their shadows. This paper presents a novel technique to detect shadow pixels in the foreground image of a video camera. The image characteristics of video cameras employed, a web-cam and a CCD, are first analysed in the HSV color space and a pixel-level shadow detection technique is proposed based on the analysis. Compared with existing techniques where unified criteria are used to all pixels, the proposed technique determines shadow pixels utilizing a fact that the effect of shadowing to each pixel is different depending on its brightness in background image. Such an approach can accommodate local features in an image and hold consistent performance even in changing environment. In experiments targeting pedestrians, the proposed technique showed better results compared with an existing technique.

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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.