• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.119-127
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• 2010

In this paper, we propose a new automatic surveillance tracking system that can extract the target from the complex background and foreground noises by using the image-based SAD algorithm and control the servo motor of cameras by using kanatani algorithm. From the experimental results the proposed stereo tracking system is found to track the target adaptively under the circumstance of complex and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.510-512
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• 2015

Recently, people fear is growing because of the various crimes that may occur when you go out. The growing is interest in security systems for the protection of an individual's property. In this paper, to establish a single central server based on the home network when intruders access to city, such as image processing values obtained through the IP camera and distance values disciplined use an ultrasonic sensor the user for an attacker city that will connect to the server the surveillance system provides the information that is received and implemented.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.6
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• pp.537-641
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• 2007

In this paper, motion analysis algorithm is presented for home surveillance of the aged who lives alone. For the first step, we acquire images from a camera. To enhance the image, we use median filtering and binarize it to reduce processing time. And then morphological operations are performed to remove small blobs and small holes. At the forth step, blobs are analysed to extracts tor foreground region. Then, motions are predicted from these images by using optical tlow technique, and the predicted motion data are refined by comparing our cardboard models so as to judge behavior pattern.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.634-636
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• 2023

Surveillance systems play a pivotal role in ensuring the safety and security of various environments, including public spaces, critical infrastructure, and private properties. However, detecting abnormal human behavior in lowlight conditions is a critical yet challenging task due to the inherent limitations of visual data acquisition in such scenarios. This paper introduces a spatiotemporal framework designed to address the unique challenges posed by low-light environments, enhancing the accuracy and efficiency of human abnormality detection in surveillance camera systems. We proposed the pre-processing using lightweight exposure correction, patched frames pose estimation, and optical flow to extract the human behavior flow through t-seconds of frames. After that, we train the estimated-action-flow into autoencoder for abnormal behavior classification to get normal loss as metrics decision for normal/abnormal behavior.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.125-132
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• 2008

Omnidirectional camera system with a wide view angle is widely used in surveillance and robotics areas. In general, most of previous studies on estimating a projection model and the extrinsic parameters from the omnidirectional images assume corresponding points previously established among views. This paper presents a novel omnidirectional camera calibration based on automatic contour matching. In the first place, we estimate the initial parameters including translation and rotations by using the epipolar constraint from the matched feature points. After choosing the interested points adjacent to more than two contours, we establish a precise correspondence among the connected contours by using the initial parameters and the active matching windows. The extrinsic parameters of the omnidirectional camera are estimated minimizing the angular errors of the epipolar plane of endpoints and the inverse projected 3D vectors. Experimental results on synthetic and real images demonstrate that the proposed algorithm obtains more precise camera parameters than the previous method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.77-85
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• 2024

In this dissertation, a we designed and implemented a patrol robot that integrates a thermal imaging camera, speed dome camera, PTZ camera, radar, lidar sensor, and smartphone. This robot has the ability to monitor and respond efficiently even in complex environments, and is especially designed to demonstrate high performance even at night or in low visibility conditions. An orbital movement system was selected for the robot's mobility, and a smartphone-based control system was developed for real-time data processing and decision-making. The combination of various sensors allows the robot to comprehensively perceive the environment and quickly detect hazards. Thermal imaging cameras are used for night surveillance, speed domes and PTZ cameras are used for wide-area monitoring, and radar and LIDAR are used for obstacle detection and avoidance. The smartphone-based control system provides a user-friendly interface. The proposed robot system can be used in various fields such as security, surveillance, and disaster response. Future research should include improving the robot's autonomous patrol algorithm, developing a multi-robot collaboration system, and long-term testing in a real environment. This study is expected to contribute to the development of the field of intelligent surveillance robots.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.691-693
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• 2004

비디오 시퀀스에서의 객체 추적은 보안 및 감시 시스템(Security and surveillance system), 비디오 원격 회의(Video teleconferencing)등과 같이 컴퓨터 비전 응용 분야에 널리 이용되어, 정정 그 중요성이 증가하고 있다 여러 가지 이유로 인친 카메라 덜(View)로부터 객체의 가시 상태가 변하는 경우, 하나의 뷰만을 이용해서는 좋은 결과를 가지기 어렵기 때문에 본 논문에서는 객체가 가장 잘 나타나는 뷰를 선택해서 객체를 추적하는 방법을 제안한다. 각각의 카메라 뷰에서 객체를 추적하기 위해 본 논문에서는 다중 후보가 결합된 Mean-shift 알고리즘을 이용한다. 제안된 시스템의 경우, 복잡한 환경으로 인해 객체의 가시 상태가 변하는 환경에서 단일 뷰를 이용하는 경우와 비교해 더 나은 성능을 가질 수 있었다.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.6 s.183
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• pp.22-28
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• 2006

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.175-178
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• 2003

In this paper, proposed system use real-time MPEG-2 compression, and retrieve video from the storage using efficient indexed algorithm. System survey wide military range, diffuse situation to adjacent units, and transmit images long distance.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.124-125
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• 2017

레이더 센서보다 가격이 저렴한 초음파 센서를 사용하여 센서 운용에 있어 가격을 줄였다. 후측면 사각감시 시스템이 경보를 못하거나 오 경보할 수 있는 상황을 후방 카메라의 객체 인식, 탐지를 통해 초음파 센서가 미치지 못하는 영역에 대해 감지를 한다. 또한 후방 카메라와 후측면 사각감시 시스템이 ECU 내부의 통신을 하여 오류를 줄인 정보를 운전자에게 전달 할 수 있다.