• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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• pp.739-742
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• 2005

본 논문은 디지털 영상 데이터를 대상으로 웨이블릿 변환을 이용하여 주파수 영역에서 워터마크를 삽입하는 블라인드 워터마킹 알고리즘을 제안한다. 실험을 통하여 다양한 임계치에 따른 워터마크 정보의 수용력과 영상의 손실 정도(PSNR), 저작권 인증 여부와 검출 값(Correlation response) 사이의 관계(Trade-off)들을 고려하여 최적의 임계치에 관하여 연구한다. 또한 인간의 시각적인 특성을 고려한 HVS(Human visual system) 기법을 적용하여 영상의 비가시도를 유지하면서 시각적으로 중요한 영역에 워터마크를 삽입하여 일반적인 공격에 강인성을 가지는 워터마킹 방법을 연구한다. 워터마크로서 가우시안 랜덤 수열(Gaussian Random sequence)을 삽입하여 최적의 임계값을 적용한 제안된 알고리즘의 성능 평가를 위해 여러 영상에 대하여 실험해 본 결과 워터마크가 삽입된 영상의 화질은 비가시도 측면에서 시각적으로 인지할 수 없을 만큼 측정되었으며, JPEG 손실압축, 선형 필터링, 잡음첨가 그리고 크로핑 등의 공격에 대하여 향상된 상관도와 강인함을 알 수가 있었다.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.961-968
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• 2018

Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

• 한국연초학회지
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• 제19권1호
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• pp.5-10
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• 1997

Three strains of W isolated from tobacco, tomato and Pepper plants in Korea were characterized based on biological response, serological relationship, and peptide mapping of the capsid Proteins. The strains designated as TMV-common, TMV-Pepper, and TMV-tomato could be distinguishable by different visual symptoms on 3 varieties of tobacco, one variety of tomato and Pepper for each among 27 plant specieces. Serological relationships were examined by agar gel double diffusion test. Only traceable or weak reaction was observed in the incompatible antigen-antibody combinations. The Pepper strain, however, showed trace in reaction with other two antisera. Peptide maps of the capsid proteins digested by V8 protease or by trypsin were also distinguishable, suggesting differences in composition and/or sequence of the amino acids among the strains.

• 로봇학회논문지
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• 제1권2호
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• pp.172-179
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• 2006

In this paper, we present a practical place and object recognition method for guiding visitors in building environments. Recognizing places or objects in real world can be a difficult problem due to motion blur and camera noise. In this work, we present a modeling method based on the bidirectional interaction between places and objects for simultaneous reinforcement for the robust recognition. The unification of visual context including scene context, object context, and temporal context is also. The proposed system has been tested to guide visitors in a large scale building environment (10 topological places, 80 3D objects).

• 한국시뮬레이션학회논문지
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• 제14권2호
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• pp.25-34
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• 2005

Determination of component mounting sequence on printed circuit board assembly process is a typical NP-hard problem. It is a kind of traveling salesman problems, but it has one more hard to meet constraint of matching component type per mounting position as well as searching the shortest path. An efficient method is developed by separation of crowed area and allowing up to two slots per component type. A simulation model is constructed using Visual C++ for evaluation of the suggested heuristic.

• IEIE Transactions on Smart Processing and Computing
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• 제4권2호
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• pp.110-114
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• 2015

This paper reports a novel object-detection technique in video sequences. The proposed algorithm consists of detection of objects in illuminated and occluded videos by using object features and a neural network technique. It consists of two functional modules: region-based object feature extraction and continuous detection of objects in video sequences with region features. This scheme is proposed as an enhancement of the Lowe's scale-invariant feature transform (SIFT) object detection method. This technique solved the high computation time problem of feature generation in the SIFT method. The improvement is achieved by region-based feature classification in the objects to be detected; optimal neural network-based feature reduction is presented in order to reduce the object region feature dataset with winner pixel estimation between the video frames of the video sequence. Simulation results show that the proposed scheme achieves better overall performance than other object detection techniques, and region-based feature detection is faster in comparison to other recent techniques.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2001년도 춘계학술발표대회 논문집
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• pp.90-94
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• 2001

This study hypothesizes that the imageability of a particular environments is decided by the unity of each visual sequences. We selected Ch'angdok Palace as our subject due to its greater applicability for image construction among various Korean architectures and their street furnitures. we apply the analytical methods of formal aesthetics and symbolic aesthetics to Ch'angdok Palace's space compositional characteristics, we can find distinctive features. The conclusions are that Ch'angdok Palace contains high probability of imageability through the contrast and harmony of two themes, reality and the ideal, and the rational and the emotional.

• 한국통신학회논문지
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• 제33권7C호
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• pp.540-547
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• 2008

본 논문에서는 실시간으로 컴퓨터 생성 홀로그램을 생성할 수 있는 VLSI 구조를 제안하고 하드웨어로 구현하였다. 고속으로 디지털 홀로그램을 생성할 수 있는 수정된 알고리즘을 도입하고, 하드웨어 구현을 위해 재해석하였다. 수치 및 시각적인 정밀도 분석으로부터 하드웨어 내부의 비트 너비를 구하였다. CGH 알고리즘의 분석과 정밀도 분석 결과부터 CGH 셀의 구조를 제안하였다. CGH 셀의 구조와 알고리즘의 특성으로부터 동작 순서를 분석하였고, 파이프라인 구조와 동작적인 타이밍을 제안하였다.

• 제어로봇시스템학회논문지
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• 제8권11호
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• pp.935-940
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• 2002

For robot navigation and visual reconstruction, structure from motion (SFM) is an active issue in computer vision community and its properties arc also becoming well understood. In this paper, when using stereo image sequence and direct method as a tool for SFM, we present a new method for overcoming bas-relief ambiguity. We first show that the direct methods, based on optical flow constraint equation, are also intrinsically exposed to such ambiguity although they introduce robust methods. Therefore, regarding the motion and depth estimation by the robust and direct method as approximated ones. we suggest a method that refines both stereo displacement and motion displacement with sub-pixel accuracy, which is the central process f3r improving its ambiguity. Experiments with real image sequences have been executed and we show that the proposed algorithm has improved the estimation accuracy.

• 한국멀티미디어학회논문지
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• 제24권6호
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• pp.796-804
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• 2021

In computer vision, visual tracking method addresses the problem of localizing an specific object in video sequence according to the bounding box. In this paper, we propose a tracking method by introducing the feature correlation comparison into the siamese network to increase its matching identification. We propose a way to compute location of object to improve matching performance by a correlation operation, which locates parts for solving the searching problem. The higher layer in the network can extract a lot of object information. The lower layer has many location information. To reduce error rate of the object center point, we built a siamese network that extracts the distribution and location information of target objects. As a result of the experiment, the average center error rate was less than 25%.