• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.2
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• pp.131-139
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• 2016

Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all human motion recognitions. Various approaches have been tried to detect and trace the position of human head in two-dimensional (2D) images precisely. However, it is still a challenging problem because the human appearance is too changeable by pose, and images are affected by illumination change. To enhance the performance of head detection and tracking, the real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor are recently used. In this paper, we propose an effective feature extraction method, called adaptive local binary pattern (ALBP), for depth image based applications. Contrasting to well-known conventional local binary pattern (LBP), the proposed ALBP cannot only extract shape information without texture in depth images, but also is invariant distance change in range images. We apply the proposed ALBP for head detection and tracking in depth images to show its effectiveness and its usefulness.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.1
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• pp.7-22
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• 2006

This study examines the mud-based cosmetic business by the City of Boryeong, as a case of commodifying a locality's endowment or assets for local development. Concretely, the study discusses current status, history, and challenges of the business, which is an integral component of the key industry Boryeong seeks to promote by using mud materials. The discussion also encompasses the factors behind the development of the business. From the discussion, my work presents the business‘s implications for the commodification of local endowment/assets and promotion of relevant key industries that not a few localities across Korea pursue for their development. I deal with such implications, primarily in terms of the local institutional capacity that induces the consistent participation and cooperation from a wide variety of stake-holder as well as the shared vision among such stake-holders in order to enable a locality to effectively use its endowments/assets for local development. And this work reiterates that the institutional capacity which is significant for local development has to be analyzed in depth and such an analysis should produce codified knowledge which can function as guidances or manuals for many localities.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.265-268
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• 2003

파노라믹 이미지를 이용한 환경감시 및 탐사에 관한 지속적인 연구는 실시간으로 이미지를 얻고 탐사를 수행하는 연구형태로 발전하고 있다. 본 논문에서는, 한대의 카메라와 하나의 볼록 거울의 조합을 이용하여 실시간으로 얻어지는 전(全)방향 이미지로부터 바닥정보를 추출하여 지역정보(Local Map)를 얻고, 그 정보에 기반 하여 로봇의 이동을 제어하고 전역정보(Global Map)를 구성하는 새로운 방법을 제안한다.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.10
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• pp.76-88
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• 1997

Based on the principles described in Part I, we have implemented a working prototype vision system using a feature structure called an LSG (local surface group) for generating object hypotheses. In order to verify an object hypothesis, we estimate the view of the hypothesized model object and render the model object for the computed view. The object hypothesis is then verified by finding additional features in the scene that match those present in the rendered image. Experimental results on synthetic and real range images show the effectiveness of the indexing scheme.

• Journal of the Korean Society for Railway
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• v.2 no.3
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• pp.5-7
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• 1999

Ten years have passed since my last visit to Korea on the occasion of the International Symposium on High Speed Rail Systems organized by the Korean Transport Institute in October 1989. At that time, it was the objective to introduce the maglev and VHSR (very high speed rail) systems with their different areas of application and to discuss them with local partners against the background of the Seoul-Pusan HSR project. Congratulations on the success of the Centennial seminar. I am much pleased to be invited to the memorable seminar and I would like to express my sincere gratitude to Korean members' hospitality. (omitted)

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.306-308
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• 2006

We propose an attention based object recognition system, to recognize object fast and robustly. For this we calculate visual stimulus degrees and make saliency maps. Through this map we find a strongly attentive part of image by stimulus degrees, where local features are extracted to recognize objects.

• Smart Structures and Systems
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• v.30 no.3
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• pp.255-261
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• 2022

When no extensometer is available in a generic tensile-compression test carried out by a universal testing machine (for instance the model BIONIX from Material Testing Systems (MTS)), the test results only provide the relative displacement between the machine grips. The test does not provide any information on the local behaviour of the material. This contribution presents the potential of an application of Digital Image Correlation (DIC) toward the reconstruction of the behaviour along the specimen. In particular, the authors test a Ni-Ti shape memory alloys (SMA) specimen with emphasis on the coupling of the two measurement techniques.

• International Journal of Control, Automation, and Systems
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• v.6 no.5
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• pp.746-754
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• 2008

This paper proposes a method to detect calibration patterns for accurate camera calibration under complicated backgrounds and uneven lighting conditions of industrial fields. Required to measure object dimensions, the preprocessing of camera calibration must be able to extract calibration points from a calibration pattern. However, industrial fields for visual inspection rarely provide the proper lighting conditions for camera calibration of a measurement system. In this paper, a probabilistic criterion is proposed to detect a local set of calibration points, which would guide the extraction of other calibration points in a cluttered background under irregular lighting conditions. If only a local part of the calibration pattern can be seen, input data can be extracted for camera calibration. In an experiment using real images, we verified that the method can be applied to camera calibration for poor quality images obtained under uneven illumination and cluttered background.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2577-2580
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• 2003

In this paper we present a teleoperation system of an internet-based mobile robot based on H.263 image compression algorithm. We control remotely the networked mobile robot with vision over the internet under unknown environments in the real time. The main feature of this system is that local operators need to download and install a client program and so they can command the robot in a remote location. Image information of remote location is compressed by H.263 video codec algorithm and then transmitted to a local operator. We constructed and tested a networked autonomous mobile robot in the real field. The experimental results show the usefulness of the robot under test.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.1
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• pp.22-31
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• 2004

This paper deals with the dynamic hand gesture recognition based on computer vision using neural networks. This paper proposes a global search method and a local search method to recognize the hand gesture. The global search recognizes a hand among the hand candidates through the entire image search, and the local search recognizes and tracks only the hand through the block search. Dynamic hand gesture recognition method is based on the skin-color and shape analysis with the invariant moment and direction information. Starting point and ending point of the dynamic hand gesture are obtained from hand shape. Experiments have been conducted for hand extraction, hand recognition and dynamic hand gesture recognition. Experimental results show the validity of the proposed method.