• Journal of Broadcast Engineering
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• v.21 no.5
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• pp.782-791
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• 2016

The object segmentation algorithm from the background could be used for object recognition and tracking, and many applications. To segment objects, this paper proposes a method that refer to several initial frames with real-time processing at fixed camera. First we suggest the probability model to segment object and background and we enhance the performance of algorithm analyzing the color consistency and focus characteristic of camera for several initial frames. We compensate the segmentation result by using human skeleton characteristic among extracted objects. Last the proposed method has the applicability for various mobile application as we minimize computing complexity for real-time video processing.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.465-470
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• 2002

This paper presents a new model based method for tracking moving object from a moving camera. In the proposed method, binary model is derived from detected object regions and Hausdorff distance between the model and edge image is used as its similarity measure to overcome the target's shape changes. Also, a novel search algorithm and some optimization methods are proposed to enable realtime processing. The experimental results on our test sequences demonstrate the high efficiency and accuracy of our approach.

• Journal of the Korea Society of Computer and Information
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• v.18 no.1
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• pp.1-10
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• 2013

In this paper, we propose a CUDA(Common Unified Device Architecture) based SW(software) design method for CPU(Central Processing Unit) and GPU(Graphic Processing Unit) parallel structure to implement real-time process in 3D Laser ladar(LADAR) imaging system. LADAR is a complex system to generate 3-dimensional image based on the laser ranging information, and requires massive process resources in each phase. Therefore, designing and implementing parallel structure are crucial to realize a real-time process within limited system resource. As a conclusion, we can meet the speed of required real-time process allocating separable work load to CUDA GPU by analyzing process algorithm in each phase and confirm the process speed increase by 46%.

• KIISE Transactions on Computing Practices
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• v.21 no.6
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• pp.424-429
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• 2015

This research proposes a new system for calculating the total amount of coins in an image. The proposed system identified and classified the coins in the image in realtime. The image was obtained using a USB camera. Most previous coin calculation systems only used size information. If the size of an object was incorrectly detected, it caused a misclassification. Especially, in case of the former 10 won, it had high error rate because it was similar in size to the 50 won and 100 won coin. The proposed system combines hue histogram information with size information to reduce errors in the classification process. When we only used size information in the classification experiment of 2,290 coins, the recognition rate was on average about 88.2%. When we combined hue information with size information the recognition rate increased to about 99.3%.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.103-109
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• 2007

A controller who is responsible for visitor's safety makes a decision about measures for visitor safety in human-based decision making process. Many potential accidents that are caused by human error lurk in results of the process. The accidents can be decreased by changing the decision making process from human-based into technology-based. Technology-based decision making process can catch a controller's attention through data filtering, alarm filtering, and so on. So, the controller can get information on occurrence of an unforeseen accident pro-actively. Development of 3D SICS is caused of this needs. This paper shows a methodology of this research, results of up to now, study plan of next year, and contribution of 3D SICS development.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.5
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• pp.56-70
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• 2010

Rendering technique generating 2 dimensional image to give reality and high performance graphical processor for efficient processing of massive data are necessary to support realistic 3 dimensional graphical image. Recently, graphical hardwares have evolved rapidly. This enables high quality rendering effect that we were unable to process in realtime. Improving shading technique enabled us to render realistic images but still much time is required for this process. Multiple operational units are being integrated in a graphical processor for effective floating point operation using massive data to process almost real looking images. In this paper, we have designed and implemented a special functional unit to support high quality 3 dimensional computer graphic image on programmable integrated shader processor. We have done evaluation through functional level simulation of designed special functional unit. Hardware resource usage rate and execution speed are measured implementing directly on FPGA Virtex-4(xc4vlx200).

• Journal of Digital Convergence
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• v.14 no.1
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• pp.189-194
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• 2016

Recently, there is increasing demand for image processing technology while activated the use of equipments such as camera, camcorder and CCTV. In particular, research and development related to 3D image technology using the depth camera such as Kinect sensor has been more activated. Kinect sensor is a high-performance camera that can acquire a 3D human skeleton structure via a RGB, skeleton and depth image in real-time frame-by-frame. In this paper, we develop a system. This system captures the motion of a 3D human skeleton structure using the Kinect sensor. And this system can be stored by selecting the motion file format as trc and bvh that is used for general purposes. The system also has a function that converts TRC motion captured format file into BVH format. Finally, this paper confirms visually through the motion capture data viewer that motion data captured using the Kinect sensor is captured correctly.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.2
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• pp.68-75
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• 1996

More accurate inspection method for facilities of nuclear power plants is required to guarantee the continuous and stable energy supply. The portion of inspection for pipes and pressure vessels is relatively big in the power plants. Conventional inspection methods using ultrasonic wave, x-ray and eddy current for nondestructive testing in nuclear power plants have been performed as the method of contact with objects to be inspected. With this reason these methods have been taken relatively much time, money and manpower. And the area to be inspected is limited by the location of probe or film. These difficulties make the inspection into a time-consuming work. We propose an optical defect detection method using phase shifting realtime holographic interferometry. This method has an advantage that the inspection can be performed at a time for relatively wide area illuminated by the laser beam, a coherent light source and can help an inspector recognize not only defects but also the high stressed areas. In this paper we show that the quantitative measurement using holographic interferometry and image processing for defect in pressure vessels is possible.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.20 no.4
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• pp.1233-1240
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• 1996

Conventional measurement methods using ultrasonic wave or x-ray, eddy current for non-destructive testing(NDT) in nuclear power plants and other industrial plants have been utilized as the method of contact with objects to be inspected. For this reason these methods require relatively much time and inspection area is limited by the location of probe or film. But holograpic interferometry which is a non-contact optical measurement method using a coherent light source has an advantage that quantative measurement can be performed at a time. In this paper a new method using realtime holographic interfreometry and image processing for detecting internal flaws of pressure vessels is presented.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.470-474
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• 2008

The image as a media has changed consistently since it was first introduced. According to these changes, the image has been reproduced in different fields and contexts. Thus, the paradigm on the production and the consumption of the image has been changed and recycled rapidly. The relation between the production and the consumption of the image also has changed accordingly, allowing quite ambiguous distinction between the producer and the consumer. The transformation through the transfer of the image among different fields opens up a new potential that these reproduced images could be used as an aesthetically expressive tool, rather than merely leaving images to remain royal to its original function as a sign. The thesis is to explore the potential that the topographical lines have beyond its function as a sign age. During the reproduction of the image, the process actively invites the spectator or the consumer to participate in the formation of the image, which promotes a new relation between the producer and the consumer. Instead, the process encourages the consumers to be active producers as well. As a result, the topographical lines do not merely remain as a sign that demarcates the height of the topography, and new images are constantly reproduced from the active participants. This project questions the fixed idea on the sign as a communicative tool, and suggests a new potential for the sign, especially, the topographical lines.