• 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.

• Journal of the Semiconductor & Display Technology
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• v.14 no.3
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• pp.37-43
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• 2015

In this paper, a new background subtraction algorithm for video based fence monitoring surveillance systems is proposed. We adopt the sampling based background subtraction technique and focus on the two main issues: handling highly dynamic environment and handling the flickering nature of pulse based IR (infrared) lamp. Natural scenes from fence monitoring system are usually composed of several dynamic entities such as swaying trees, moving water, waves and rain. To deal with such dynamic backgrounds, we utilize the confidence factor for each background value of the input image. For the flickering IR lamp, the original sampling based technique is extended to handle double background models. Experimental results revealed that our method works well in real fence monitoring surveillance systems.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.57-64
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• 2023

The ROK military faces a significant challenge in its vigilance mission due to demographic problems, particularly the current aging population and population cliff. This study demonstrates the crucial role of the 4th industrial revolution and its core artificial intelligence algorithm in maximizing work efficiency within the Command&Control room by mechanizing simple tasks. To achieve a fully developed military surveillance system, we have chosen multi-object tracking (MOT) technology as an essential artificial intelligence component, aligning with our goal of an intelligent and automated surveillance system. Additionally, we have prioritized data visualization and user interface to ensure system accessibility and efficiency. These complementary elements come together to form a cohesive software application. The CCTV video data for this study was collected from the CCTV cameras installed at the 1st and 2nd main gates of the 00 unit, with the cooperation by Command&Control room. Experimental results indicate that an intelligent and automated surveillance system enables the delivery of more information to the operators in the room. However, it is important to acknowledge the limitations of the developed software system in this study. By highlighting these limitations, we can present the future direction for the development of military surveillance systems.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.672-676
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• 2009

Recently, intelligent surveillance camera systems are needed popularly. However, current researches are focussed on improvement of a single module rather than implementation of an integrated system. In this paper, we implemented a wireless surveillance camera system which is composed of face detection, and using motion sensor. In our implementation, we used a camera module from SHARP, a pair of wireless video transmission module from ECOM, a pair of ZigBee RF wireless transmission module from ROBOBLOCK, and a motion sensor module (AMN14111) from PANASONIC. We used OpenCV library for face dection and MFC for implement software. We identified real-time operations of face detection, PTT control, and motion sensor detecton. Thus, the implemented system will be useful for the applications of remote control, human detection, and using motion sensor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1102-1106
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• 2015

To provide social security and for cooperative smart camera context awareness processing, each camera stores and exchange context data. For a specific event, measured values with other context data is stored RDB. RDB is transformed to ontology RDF file and is used for context reasoning. Interoperability between smart cameras conforms to ONVIF and constitutes intelligent surveillance system. To guarantee the confidentiality and integrity, securiy techniques are adopted. Security overhead between agents is analyzed in the prototype system implemented.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.311-316
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• 2009

This paper presents the motion estimation algorithm on real-time for mobile surveillance robot using particle filter. the particle filter that based on the monte carlo's sampling method, use bayesian conditional probability model which having prior distribution probability and posterior distribution probability. However, the initial probability density was set to define randomly in the most of particle filter. In this paper, we find first the initial probability density using Sum of Absolute Difference(SAD). and we applied it in the partical filter. In result, more robust real-time estimation and tracking system on the randomly moving object was realized in the mobile surveillance robot environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.133-139
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• 2011

lots of problems are emerged on the conventional surveillance systems at urban railway infrastructure. Many projects and research activities have been processing on those problems. Moreover, The interest in Intelligent Video Surveillance System that provides accident prevention and safe driving in urban railway service is dramatically increasing. This paper represents a drawback of existing studies and introduces a new solution using RFID TAG technology to improve the existing problems. Finally, it describes the practice test of automatic notification system based USN(Ubiquitous Sensor Network) for a dangerous situation.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1485-1490
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• 2004

Recently, we have remarkable developments in intelligent robot systems. The remarkable features of intelligent robot are that it can track user, does face recognition and vital for many surveillance based systems. Advantage of face recognition when compared with other biometrics recognition is that coerciveness and contact that usually exist when we acquire characteristics do not exist in face recognition. However, the accuracy of face recognition is lower than other biometric recognition due to decrease in dimension from of image acquisition step and various changes associated with face pose and background. Factors that deteriorate performance of face recognition are many such as distance from camera to face, lighting change, pose change, and change of facial expression. In this paper, we implement a new 3D active camera system to prevent various pose variation that influence face recognition performance and propose face recognition algorithm for intelligent surveillance system and mobile robot system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.378-381
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• 2007

지상의 침수와 지하공간의 침수는 많은 부분에서 발생 및 진행 메커니즘이 다르므로, 침수시 요구되는 대응방안 또한 많은 차이를 나타내고 있다. 일반적으로 지하구내의 침수 피해는 지상에 비해 피해 규모가 막대할 뿐만 아니라 복구에도 많은 어려움이 있다. 생명과 재산의 피해를 최소화할 수 있는 적절한 대책이 필요하다. 본 논문에서는 영상처리와 퍼지 제어를 적용해서 지하구내 침수 상황을 감시 ${\cdot}$ 통제하고 안전성을 평가하는 알고리즘과 시스템을 제안한다.