• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.329-336
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• 2023

This paper introduces an edge AI-based scene-specific object detection system for long-term traffic management, focusing on analyzing congestion and movement via cameras. It aims to balance fast processing and accuracy in traffic flow data analysis using edge computing. We adapt the YOLOv5 model, with four heads, to a scene-specific model that utilizes the fixed camera's scene-specific properties. This model selectively detects objects based on scale by blocking nodes, ensuring only objects of certain sizes are identified. A decision module then selects the most suitable object detector for each scene, enhancing inference speed without significant accuracy loss, as demonstrated in our experiments.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.164-173
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• 2006

As the CG images in the films and the games are getting more realistic by the development of computer graphics, the requests of technique that can develop the various digital contents has also increased. However, the techniques developed for the studies and simulations of the ecological system and adaptation in the ocean, are insufficient compared with those on the ground. This paper propose a method of modeling to simulate the growth of ocean objects according to the variation of virtual ocean environment and the efficient metamorphosis based on the movement of the objects. By modeling the ocean objects with the anisotropic metacubes, it is possible to represent easily the growth and metamorphosis of fishes as the movement in the virtual environment of ocean.

• The Journal of Art Theory & Practice
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• no.6
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• pp.7-25
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• 2008

The following thesis has been composed with the inspiration attained from Paul Ardenne's conception on Contextual Art. In Europe and in the United States, there is a group of artists who emphasize in the importance of artist's participation in social, political, economical, environmental and moral issues. Since the 1960's, these artists have pondered on Modernism's ideas where art is contextually separated from humanly issues whereas the manners of such artists put on emphasis in the intent to participate in the real human social and ethical issues. Forerunner in this field of art such as Wolfgang Leib display hybrid or meta style in their work. His work displays a quadrilateral form of pollen which represents the simultaneous blending of two mixed ideas such as the abstract from the real. Thus heterogeneous style and philosophy which includes a range of medias and today's trend is observed in Contextual Art. Such art form is also found in landscapes where it is not seen as an observable object but rather an interactive object. It is correlated to Arte Povera of the Italian Art Movement, Support-Surface of the French Art Movement and lastly to the Fluxus. Through these art movements, we find a mutual antipathy towards putting art for sales in the capitalism market and reflect the social role of art in postmodern era.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.3
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• pp.63-70
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• 2010

We are able to find many materials of pendulum dynamic/analysis using linearized model. Usually, analysis of pendulum is to calculate for velocity, period and angle by linearized model on Newton's law. In this paper, analyzed periodical movement of pendulum using nonlinear load model. That is, analyzed load value according to location of moving pendulum at real time. And for the shake of maneuver for pendulum's location, found load control value and compared result of linearized mode with nonlinear model. The result makes know that it is possibility of nonlinear load control model to apply to various model of movement object including flight object, pendulum and etc.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.11
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• pp.626-633
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• 2003

Theoretical analysis of the depth measurement system with the use of a single camera and a rotating mirror has been done. A camera in front of a rotating mirror acquires a sequence of reflected images, from which depth information is extracted. For an object point at a longer distance, the corresponding pixel in the sequence of images moves at a higher speed. Depth measurement based on such pixel movement is investigated. Since the mirror rotates along an axis that is in parallel with the vertical axis of the image plane, the image of an object will only move horizontally. This eases the task of finding corresponding image points. In this paper, the principle of the depth measurement-based on the relation of the pixel movement speed and the depth of objects have been investigated. Also, necessary mathematics to implement the technique is derived and presented. The factors affecting the measurement precision have been studied. Analysis shows that the measurement error increases with the increase of depth. The rotational angle of the mirror between two image-takings also affects the measurement precision. Experimental results using the real camera-mirror setup are reported.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.743-748
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• 2011

In this paper, we propose a collaborative tracking algorithm for intelligent video surveillance systems using the multiple network cameras. To do this, each camera detects a moving object and it's movement direction by motion templates. Once a moving object is detect, the Kalman filter is used to reduce noises, and a collaborative tracking camera is selected according to the movement direction and the camera state. In this procedure, Pan-Tilt-Zoom(PTZ) parameters are assigned to obtain clear images. Finally, some experiments show the validity of the proposed method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.1103-1106
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• 2005

The purpose of this research is design of Vision Box which can capture an image which inputs through the camera and understand movement of object included in captured image. In design, we tried to satisfy user's requirements. We made Vision Box can analyze movement of object in image captured by camera without additional instruments. In addition, it is possible that communicate with PLC and operate Vision Box by remote control. We could verify the Vision Box capability by using it to automobile engine pattern analysis. We expect the Vision Box will be used various industrial fields.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.99-104
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• 2021

The technology of estimating a movement trajectory using a monocular camera such as a smartphone and composing a surrounding 3D image is key not only in indoor positioning but also in the metaverse service. The most important thing in this technique is to estimate the coordinates of the moving camera center. In this paper, a new algorithm for geometrically estimating the moving distance is proposed. The coordinates of the 3D object point are obtained from the first and second photos, and the movement distance vector is obtained using the matching feature points of the first and third photos. Then, while moving the coordinates of the origin of the third camera, a position where the 3D object point and the feature point of the third picture coincide is obtained. Its possibility and accuracy were verified by applying it to actual continuous image data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.2
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• pp.455-461
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• 2011

In object tracking using the block mating algorithm, it is not proper to use a fixed matching block to track an object of which size may be various and can be changed at any time. This paper defines an adaptive matching block for the dynamic environment and proposes a block matching algorithm for it. The matching block is composed of a main-block of $10{\times}10$ pixels and 8 sub-blocks of $6{\times}6$ pixels in a wide area of $42{\times}42$ pixels, the main-block located its center is used as an object block, and the sub-blocks located its boundary are used as candidates for the object block. The proposed algorithm extracts the object blocks from the sub-blocks by using their motion vectors for 10 previous frames and performs the block matching with the main block and them. The experiments for perform estimation show that the proposed algorithm extracts just valid object blocks from the matching block and keeps an object having free movement in image center area.

• Journal of the Korean Institute of Educational Facilities
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• v.24 no.5
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• pp.3-10
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• 2017

This study was tried to find out characteristics of students' movement in classroom and homeroom. The object was the school whose homebase management was different by grade. Observation research was tried about middle school class that is simultaneously worked with different type of homeroom and the movement of students under various situations was analyzed. As a result, students in exclusive subject classroom moved in short time within one or two minutes after class. In case of exclusive homeroom, returning frequency of students was nearly about 85 to 100 percent within ten minutes in end of end. Behavioral characteristics of students in dual purpose homeroom was similar in exclusive subject classroom. The class using dual purpose homeroom showed high ratio in use of center homebase, therefore, returning frequency at short recess time was extremely low. In case of dual purpose homeroom at lunch time, next class students moved in early time and maximized within one or two minutes in end of end. These results are thought to be useful for planning spaces of variation type.