• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.39 no.1
• /
• pp.17-31
• /
• 2002

The new MPEG-4 video coding standard enables content-based functionalities. Image segmentation is an indispensable process for it. This paper addresses an effective segmentation of non-rigid objects. Non-rigid objects are deformable objects with fuzzy, blurred and indefinite boundaries. So it is difficult to segment deformable objects precisely. In order to solve this problem, we propose an effective segmentation of non-rigid objects using watershed algorithms in still pictures. And we propose an automatic segmentation through intra-frame and inter-frame segmentation process in video sequences. Automatic segmentation preforms boundary-based and region-based segmentation to extract precise object boundaries.

• Archives of design research
• /
• v.16 no.2
• /
• pp.15-22
• /
• 2003

This is a study on the roles in the association of sound as subtext for animation. On this study, it will be helpful to develop sound concepts and to create animations with creativity. For animation without sound can be produced as an artistic purpose, however, most animations are created with sound. It is not means that sound is less important than visual in animations. Sound is also one of significant element to create animations. Sound have many important rolls for subtext such as parts of action, leitmotif, characteristic, time, ethnic, localization in the animations. It will be analyzed two animations such as Shrek (DreamWorks Pictures production/ Director: Andrew Adams) and Monsters Inc. (Walt Disney Pictures/ Director: Peter Doctor).

• Proceedings of the Korea Contents Association Conference
• /
• 2006.05a
• /
• pp.499-502
• /
• 2006

Simulation of dynamic particle systems has been used in computer animation for several years and has more recently been used in real-time simulation and games to enrich the visual appearance of the virtual worlds. A particle system is composed of one or more individual particles. The goal of this paper is to develop particle system graphics library and generator for real time processing.

• Proceedings of the Korea Contents Association Conference
• /
• 2005.11a
• /
• pp.572-575
• /
• 2005

In digital contents industry there is a high demand to convincingly mimic the appearance and behavior of natural phenomena such as smoke, waterfall, rain, and fire. Particle systems are methods adequate for modeling fuzzy objects of natural phenomena. It is clear which parameter of which action in a particular effect should be modified for a particular visual result. The generator is usable for offline animation and for real-time special effects in digital contents and virtual reality. The application programmer is able to specify different accuracy needs for different effects. This paper design special effect generator for make low-price and high-quality digital contents in reflection industry and virtual reality applications.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.35S no.11
• /
• pp.106-115
• /
• 1998

The performance of morphological image segmentation heavily depends on a proper selection of markers. In this paper, we propose a marker incubator where only a catchment basin that has grown sufficiently large through flooding simulation is registered as a marker. Marker incubator does following things at each flooding level; growing defined marker regions, finding new marker regions, and postponing irrelevant regions to be examined at the next level. The examination for a region to be a valid marker is performed by two size-oriented criterions that are derived from the structuring element size of a morphological filter. The simulation result shows that the image segmentation with the proposed marker incubator achieves the comparable image quality to Wang's method in a less number of markers even without region merging. Additionally, since the proposed method also performs better in terms of image quality and information for transmission, it is well suited for region-based image coding.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.8 no.5
• /
• pp.77-83
• /
• 2008

In this study, land cover classification and NDVI evaluation for hazard mitigation precaution are carried out in surrounding areas of Yeongi-gun, Chungcheongnam-do ($132\;km^2$) where a project for multi-functional administrative city is promoted by government. Image acquired from KOMPSAT 2, LANDSAT and ASTER is utilized and comparative evaluation on limitation in classification based on resolution was carried out. The area mainly consists of arable land including mountains, rice fields, ordinary fields, etc thus special attention was paid to the classification of rice fields and ordinary fields. For the classification of image acquired from KOMPSAT 2, segmentation technique for classification of high-resolution image was applied. To evaluate the accuracy of the classification, field investigation was conducted to examine the sample and it was compared with the land usage and classification of land category in land ledger of Korea. Acquired results were made into theme map in shape file format and it would be of great help in decision making of policy for the future-oriented development plan of multi-functional administrative city.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.9 no.1
• /
• pp.9-18
• /
• 2010

Our country has so large mountain area that the tunnel construction is inevitable and the need of incident detection that provides safe management of tunnels is increasing. In this paper, we suggest a tunnel incident detection system using computer vision techniques, which can detect the incidents in a tunnel and provides the information to the tunnel administrative office in order to help safe tunnel operation. The suggested system enhances the processing speed by using simple processing algorithm such as image subtraction, and ensures the accuracy of the system by focused on the incident detection itself rather than its classification. The system is also cost effective because the video data from 4 cameras can be simultaneously analyzed in a single PC-based system. Our system can be easily extended because the PC-based analyzer can be increased according to the number of cameras in a tunnel. Also our web-based structure is useful to connect the other remotely located tunnel incident systems to obtain interoperability between tunnels. Through the experiments the system has successfully detected the incidents in real time including dropped luggage, stoped car, traffic congestion, man walker or bicycle, smoke or fire, reverse driving, etc.

• Journal of the Society of Disaster Information
• /
• v.19 no.4
• /
• pp.968-975
• /
• 2023

Purpose: We would like to confirm that the false positive rate of flames/smoke is high when detecting fires. Propose a method and dataset to recognize and classify fire situations to reduce the false detection rate. Method: Using the video as learning data, the characteristics of the fire situation were extracted and applied to the classification model. For evaluation, the model performance of Yolov8 and Slowfast were compared and analyzed using the fire dataset conducted by the National Information Society Agency (NIA). Result: YOLO's detection performance varies sensitively depending on the influence of the background, and it was unable to properly detect fires even when the fire scale was too large or too small. Since SlowFast learns the time axis of the video, we confirmed that detects fire excellently even in situations where the shape of an atypical object cannot be clearly inferred because the surrounding area is blurry or bright. Conclusion: It was confirmed that the fire detection rate was more appropriate when using a video-based artificial intelligence detection model rather than using image data.

• Journal of Digital Contents Society
• /
• v.15 no.1
• /
• pp.53-60
• /
• 2014

Even if shots in frames may be variable in both movies and animations, close-up reveals the significance of the subject in the focus. Because directors and animators take the place the actor as character in animation while performance of actor plays an important role in the close-up in the movies, it is significant to understand the close-up in the animation. In the present study we investigate the dramatic effect of close-up in the animation narrative in animations for theaters. Among the various dramatic effects of the close-up, the natural flow of the narrative and the induction of immersing in emotion are focused. Descriptive close-up is analyzed as a dramatic effect of inducing the natural flow of the narrative. Psychological close-up is analyzed as the induction of immersing emotion by effective delivery of internal mental state of a character. By analyzing symbolic close-up as the induction of immersing in the play by producing a dramatic effect, we expect that the close-up contribute to the advance of animation narrative structure.

• Electronics and Telecommunications Trends
• /
• v.29 no.1
• /
• pp.21-30
• /
• 2014

무용, 춤, 연기 등의 전문가 퍼포먼스를 분석, 학습, 보급하는 콘텐츠 기술개발은 문화산업의 중요한 당면과제이나 기존 기술은 동작만 인식하고, 감성 및 도구를 포함하지 않으며, 단순 열람은 가능하나 체험 및 학습할 수 있는 효율적인 방법이 부재하다. 따라서 전문가의 퍼포먼스 동작을 일반인 시점에서 학습할 수 있는 체감형 콘텐츠를 제공하기 위해서는 빠르고 능동적인 동작 영상 획득 시스템의 개발과 동작 데이터를 분석 및 생성하는 기술들이 필요하다. 따라서, 본 논문에서는 퍼포먼스 무용의 학습 콘텐츠 제작을 위한 핵심 기술들의 동향을 분석하고자 한다.