• Journal of Korea Game Society
• /
• v.18 no.3
• /
• pp.61-70
• /
• 2018

Thanks to the 4th Industrial Revolution, interest in virtual reality increased and many improvements of VR devices were made. Among the VR devices, the simulator plays an important role in improving the real feeling of virtual presence. In this paper, we analyze the case of existing simulator and control method for efficient interlocking of motion simulator and VR contents, and classify motion control elements in VR contents into four types. Based on this preliminary study, this paper proposes a modular motion control method to help the contents and simulator work more effectively in the production of VR contents.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.2
• /
• pp.20-32
• /
• 2010

Previous hardware devices to capture human motion have many limitations; expensive equipment, complexity of manipulation or constraints of human motion. In order to overcome these problems, real-time motion capture algorithms based on computer vision have been actively proposed. This paper presents an efficient analysis method of multiple view images for real-time motion capture. First, we detect the skin color regions of human being, and then correct the image coordinates of the regions by using camera calibration and epipolar geometry. Finally, we track the human body part and capture human motion using kalman filter. Experimental results show that the proposed algorithm can estimate a precise position of the human body.

• Journal of Broadcast Engineering
• /
• v.5 no.1
• /
• pp.102-112
• /
• 2000

The previous video structuring techniques are mainly limited to shot or shot group level. However, the shot level structure couldn't provide semantics within a video. So, researches on high level structuring are going on for getting over the drawbacks of shot level structure, recently. To overcome the drawbacks of shot level structure, we propose video scene segmentation technique based on color and motion features. For considering various color distribution, each shot is divided into sub-shots based on color feature. A key frame is extracted from each sub-shot. The motion feature in a shot is extracted from MPEG-1 video's motion vector. Moreover adaptive weights based on motion's property in search range are applied to color and motion features. The experiment results of proposed technique show the excellence in view of the over-segmentation and the reflection of semantics, comparing with those of previous techniques. The proposed technique decomposes video into meaningful hierarchical structure and provides video browsing or retrieval based on scene.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.45 no.6
• /
• pp.44-56
• /
• 2008

Previous hardware devices to capture human motion have many limitations; expensive equipment, complexity of manipulation or constraints of human motion. In order to overcome these problems, real-time motion capture algorithms based on computer vision have been actively proposed. This paper presents an efficient analysis method of multiple view images for real-time motion capture. First, we detect the skin color regions of human being, and then correct the image coordinates of the regions by using camera calibration and epipolar geometry. Finally, we track the human body part and capture human motion using kalman filter. Experimental results show that the proposed algorithm can estimate a precise position of the human body.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.6
• /
• pp.743-748
• /
• 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 Society of Broadcast Engineers Conference
• /
• 2015.11a
• /
• pp.98-99
• /
• 2015

사람 검출은 다양한 분야에서 활용이 많은 기술이다. 검출은 노이즈, 그림자, 조명 변화, 사람형태 등을 고려해야 우수한 성능을 얻을 수 있다. 본 논문에서는 블록기반으로 복잡한 실내환경에서 상기 문제를 극복할 수 있는 사람 검출 방법을 제안한다. 제안방법은 모션 추출, 배경차분화, 전경객체 추출, 사람의 고유색 검출로 구성된다. 다양한 실내환경에서 제안방법을 적용하여 우수성을 증명하였다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.581-583
• /
• 2023

기존의 불 영역 검출을 위한 이미지 전처리 기법은 임계값에 영향을 많이 받기 때문에 사진의 색상 분포에 의존하는 결과가 나온다. 이를 보완하고자 본 논문에서는 화염이 가지고 있는 특유의 비선형적이고 불규칙한 움직임을 추출할 수 있는 방법을 제안한다. 유체 시뮬레이션에서 활용되는 준 라그랑지안(Semi-Lagrangian) 활용하여 유동을 분석하고 이를 기반으로 영상에서 화염의 움직임을 추출한다.

• Journal of Convergence for Information Technology
• /
• v.11 no.6
• /
• pp.219-225
• /
• 2021

As for the battery package method, a prismatic package method is preferred for stability reasons, but it is rapidly expanding due to the stability verification of a pouch type package. The pouch type using the lamination process has an advantage of high battery energy density because it can reduce space waste, but has a disadvantage of low productivity. Therefore, in this paper, by extracting edge detection algorithm precision, pattern algorithm precision, and motion controller recall rate by improving backlight lighting fixtures to minimize light diffusion, securing standards for stereo camera position relationship displacement monitoring, and securing standards for lens release monitoring. We propose to implement a system that ensures accuracy and reliability in positioning. As a result of the experiment, the proposed system shows an average error range of 0.032mm for edge detection, 0.02mm for pattern algorithm, and 0.014mm for motion controller, thus ensuring the accuracy and reliability of the positioning mechanism.

• Journal of Korea Multimedia Society
• /
• v.6 no.7
• /
• pp.1189-1199
• /
• 2003

This paper presents a new method for the motion detection of vehicles using hierarchical motion estimation and parallel processing. It captures the road image by using a CMOS sensor. It divides the captured image into small blocks and detects the motion of each block by using a block-matching method which is based on a hierarchical motion estimation and parallel processing for the real-time processing. The parallelism is achieved by using tile pipeline and the data flow technique. The proposed method has been implemented by using an embedded system. The proposed block matching algorithm has been implemented on PLDs(Programmable Logic Device) and clustering algorithm has been implemented by ARM processor. Experimental results show that the proposed system detects the motion of vehicles in real-time.

• The KIPS Transactions:PartB
• /
• v.9B no.1
• /
• pp.129-138
• /
• 2002

In this paper, a distance measuring algorithm for motion capture using color stereo camera is proposed. The color markers attached on articulations of an actor are captured by stereo color video cameras, and color region which has the same color of the marker's color in the captured images is separated from the other colors by finding dominant wavelength of colors. Color data in RGB (red, green, blue) color space is converted into CIE (Commission Internationale del'Eclairage) color space for the purpose of calculating wavelength. The dominant wavelength is selected from histogram of the neighbor wavelengths. The motion of the character in the cyber space is controlled by a program using the distance information of the moving markers.