• 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.

• 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.

• 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.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1550-1555
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• 2011

This paper presents the system interface standard that are associated with additional devices like sensor nodes as well as fire monitoring panel, panic button and emergency call in city railroad environment. Existing fire monitoring panel, panic button and emergency call system is responsible for fire detection and alarm, emergency alarm and communication with the manager. Recently, researches that are associated with NVR-based intelligent integrated surveillance systems and existing alarm system are activated but most of the system is dedicated to it existing. In order to expand devices that is supported other monitoring function, separate device configuration or modification of integrated surveillance system are inevitable. In this study, interface standard between standard controller, integrated command center and each device that facilitate additional expansion of integrated surveillance system and avoid the extra cost is presented.

• Proceedings of the Korean Society of Crop Science Conference
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• 1998.10a
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• pp.415-445
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• 1998

For effective prevention of the spreading and outbreak of crop insects and disease pests, an intensive Pest surveillance system was established to predict their density changes, and distribution. After their initial establishment by either immigration or overwintering, it is necessary to anticipate how they spread out geographically and predict where/when outbreaks are possible. The two major tools, boundary layer atmospheric model (Blayer) and the geographic information system(GIS), have been being developed to facilitate the prediction of pest occurrence in recent days. We are also developing the PeMos (Pest Monitoring System) that is able to manage the pest surveillance data collected from 152 pest monitoring stations in Korea. These three system related to the pest surveillance should be integrated into an internet based comprehensive database management system to facilitate information resources systematically organized and closely linked. Considering various data types and large data size in each system, a new special information management system is suggested. The integrated system should express complex types of information, such as text, multimedia, and other scientific data under the Internet environment. This paper discussed the major three systems, GIS, Blayer, and PeMos, relevant to the crop pest surveillance, then how they can be integrated in a comprehensive system under the Internet environment.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1560-1565
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• 2007

A surveillance system is used many industrial places, and public places to monitor the present situation. Most of the existing surveillance system is composed of the monitors and a lot of cameras that are installed each place to be monitored. The system is usually using the CCTV, closed circuit television, system that is a passive surveillance system. Urban transit operation corporations use the passive surveillance system to monitor the situation of the passengers, and the status of the important facilities. However the officers or operators cannot monitor all of the situation or status constantly, and cannot respond to emergency. In this paper, we propose a sensor network-based intelligent surveillance system to solve these problems. The proposed system is composed of a lot of intelligent sensors that can determine the present status and integrated processor units to detect more precisely events using the information from the sensors. The sensors and the integrated processor are connected by communication network. The proposed system can be installed and used without a lot of change of the existing facilities such as the enormous communication bandwidth increase.

• Korean Journal of Remote Sensing
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• v.34 no.2_2
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• pp.307-311
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• 2018

It is necessary to establish wide integrated surveillance system of marine territory to reduce damage caused by maritime security threats, marine pollution and accidents for safe and clean marine use and efficient development of marine resources. For marine surveillance, the information characteristics of space-time specific, accuracy and operability are required, and real-time information about the wide area should be provided at all times. This special issue has been published to identify the characteristics of each platform, evaluate its usability for the establishment of a wide integrated surveillance system, and present the direction for future convergence studies between platforms. Since 2015, KIOST and cooperative research team have been performing the project, "Base research for building wide integrated surveillance system of marine territory using multi-platform" that detect vessels and red tide etc. near real time by using satellite, UAV and HF Ocean Radar. The objective of this special issue is to introduce the significance for an integrated system for maritime surveillance and to create a forum for discussion on recent advances in remote sensing technology and applications for marine disasters, pollution, and accident surveillance.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1182-1185
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• 1995

This paper presents a novel technology for unattented continuous monitoring of radioactive material in hot cell environments. In this monitoring system, the surveillance camera data and NDA data are time synchronized and integrated into the same dimension through data processing. The integrated information is then fed into a neural network to generate diagnostics through data processing. the integrated information of the concept is tested for a spent nuclear fuel transprotation in an operational hot cell at KAERI. The presented integral part of the multi-sensory system and the analytical paradigm may provide an effective technologyical alternative for safeguarding new conceptual hot cell facilities, namely the Dupic facility.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1360-1365
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• 2008

Most recognition algorithms for intelligent surveillance system are based on analysis of the video collected from one camera. Video analysis is also used to compute the internal parameters used in the recognition process. The algorithm computes only the video of the fixed area so that it is a insufficient method and it could not use information of the related areas. However, intelligent integrated surveillance system should be constructed to correlate the events in the other areas as well as in the fixed area. In this paper, in order to construct the intelligent integrated surveillance system, we describe the method not to focus on the video of each camera but to aware the whole event by sharing information between cameras, which is more accurate. The method would be used to aware the event in the fixed area such as stations in urban transit.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.1-22
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• 2014

Recent technological advances provide the opportunity to use large amounts of multimedia data from a multitude of sensors with different modalities (e.g., video, text) for the detection and characterization of criminal activity. Their integration can compensate for sensor and modality deficiencies by using data from other available sensors and modalities. However, building such an integrated system at the scale of neighborhood and cities is challenging due to the large amount of data to be considered and the need to ensure a short response time to potential criminal activity. In this paper, we present a system that enables multi-modal data collection at scale and automates the detection of events of interest for the surveillance and reconnaissance of criminal activity. The proposed system showcases novel analytical tools that fuse multimedia data streams to automatically detect and identify specific criminal events and activities. More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while avoiding information overload. We present several case studies that demonstrate how the proposed system can provide law enforcement personnel with forensic and real time tools to identify and track potential criminal activity.