• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.7
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• pp.1280-1286
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• 2001

In this Study, we try to suggest a system that recognize worker's regular motion more effectively First, based on frame difference that separates still background from movable object to video that make a film of worker's motion. The next, with edge detection, estimating the center of motion could recognize continuous motion. By action cognition system that design in this research films worker's action using fixed CCTV to supplement problem of action awareness system that is applied in existent industry spot, various mountings to get action information minimized. Also, shorten session that need in awareness enforcing action awareness through image subtraction and edge detection between frame to reduce time necessary to draw worker's body part special quality, expense designed inexpensive action cognition system as being efficient.

• Journal of Broadcast Engineering
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• v.6 no.2
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• pp.160-168
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• 2001

In this paper, we propose a new practical motion model that can exploit the general properties of camera motion in constructing a panorama. accounting for panning. tilting, and evert the change in focal length of the camera. We also present an efficient algorithm to handle moving objects or noose in the scene based on outliers rejection. Spatial and temporal statistical properties of motion field are exploited to detect the outliers. The proposed algorithm removes moving objects or noise from the panoramic Image so that mode clear and complete view of the background Image can be obtained. This method does not require assumptions or a priors knowledge of the scene. The entire process is fully automatic as this method does not require any manual correction in the process of constructing a Panorama. The proposed algorithm is tested on the broadcasting images of soccer games. Oun simulation result shows that this method is superior to conventional image mosaicing algorithms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.7C
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• pp.548-553
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• 2008

To reduce the bit-rate requirements imposed by a network or satisfy processing limitations imposed by a terminal, Conversion the temporal resolution of a video bit stream is a technique that may be used. This paper discusses the problem of reduced resolution transcoding of compressed video bit streams, and discussed the technique for temporal transcoding. To speed up this operation, a video transcoder usually reuses the coded motion vectors from the input video bit stream. In this paper we propose an enhanced motion re-estimation technique to maintain higher quality of coded frames. The performance of experimental results can be improved while maintaining low computational complexity for a reduced frame rate video transcoder.

• Progress in Medical Physics
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• v.13 no.3
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• pp.163-168
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• 2002

As for planning the radiation therapy for the tumor in the lung, inferring the motion of the organ or target due to the respiration from the motion of the skin was performed as the feasibility study with the animal. The dog weighed 20 kg was chosen for the experiment. The system, which can use the fluoroscopy and the CCD camera synchronously, was designed. With a radio-opaque marker on the skin of the dog, which indicates the lower lobe of the lung, the images of the motions for the lung were recorded in the A/P (anterior-to-posterior) and lateral view. At the same time, the images of the skin motions from CCD camera were also recorded. Skin moves periodically with the amplitude of 6 mm and the target in the lung made almost the same frequencies during its motion's amplitude of 15 mm and its direction change with the respiration. Therefore analyzed results showed strong correlation between the skin motion and the organ motion on the average of 0.85. This study indicated that the prediction of a target position in the lung, which is moving organ, is possible. For the animal study, predicting the exact target motion from the skin motion was possible and it can have the feasibility to apply to the patient clinically.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.145-149
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• 2006

모바일 맹핑시스템에 장착되어 있는 카메라와 INS의 물리적 관계 (두 좌표축 간의 거리(lever-arm) 와 각도(boresight) 캘리브레이션은 카메라 영상의 지리적 정보를 생성하기 위해 필요로 한다. 이 목적을 위해 기존연구는 카메라 캘리브레이션을 통하여 이 물리적 관계를 추정하고 있다. 카메라 캘리브레이션은 3차원 좌표가 할당된 타겟을 이용하여 움직이는 카메라의 렌즈 왜곡과 내/외부 표정 계산하는 것이다. 이 추정에서, 저가의 INS의 초기상태인 자세, 각도는 사용자의 측량에 의해 결정이 된다. 만약 정교한 측량이 없을 경우, 카메라 영상의 지리적 정보는 잘못된 정보를 제공 할 것이다. 정교한 측량의 어려움을 피하기 위해, 본 논문은 카메라와 초기상태 정보가 없는 INS간의 물리적 관계를 위한 수학적 모델을 설계하였다. 시스템에 장착된 카메라와 INS의 초기 기준 좌표계의 관계는 lever-arm과 boresight을 이용한 좌표축 변환으로 정의 될 수 있으며, 이 시스템이 이동 후, 카메라 초기 기준 좌표계에서 INS의 위치는 두 개의 벡터 경로로 정의 될 수 있다. 이 두 벡터 경로는 카메라와 INS의 상대 외부표정의 관계를 이용하여 계산된 벡터들의 조합으로 정의된다. 본 논문은 여러 쌍의 경로로부터 lever-arm과 boresight을 추정하였다.

• Journal of KIISE:Software and Applications
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• v.31 no.11
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• pp.1496-1504
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• 2004

In this paper, we propose an algorithm for initializing a target vehicle detection, tracking the vehicle and estimating the distance from it on the stereo images acquired from a forward-looking stereo camera mounted on a road driving vehicle. The process of vehicle detection extracts road region using lane recognition and searches vehicle feature from road region. The distance of tracking vehicle is estimated by TSS correlogram matching from stereo Images. Through the simulation, this paper shows that the proposed method segments, matches and tracks vehicles robustly from image sequences obtained by moving stereo camera.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.311-316
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• 2009

This paper presents the motion estimation algorithm on real-time for mobile surveillance robot using particle filter. the particle filter that based on the monte carlo's sampling method, use bayesian conditional probability model which having prior distribution probability and posterior distribution probability. However, the initial probability density was set to define randomly in the most of particle filter. In this paper, we find first the initial probability density using Sum of Absolute Difference(SAD). and we applied it in the partical filter. In result, more robust real-time estimation and tracking system on the randomly moving object was realized in the mobile surveillance robot environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.1B
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• pp.90-98
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• 2002

To increase system capacity in WCDMA receiver, the coherent detection is an essential technology for recovering transmitted symbols correctly. For coherent detection, an accurate and fast channel estimation is required. In next generation mobile communication system, high frequency carriers are used, and high data rate services are provided for subscribers having high mobility. In this communication environment, however, the rapidly-changing doppler frequency degrades the quality of the transmitted signal a lot. In WCDMA system, the channel estimation is conducted using pilot channel and/or pilot symbols which are known to both transmitter and receiver. Some existing channel estimation algorithms utilize these information quite well, but the performance of channel estimation gets very poor in a complicated fading channel distorted by the doppler effect. In this paper, we propose a new channel estimation algorithm combining an early-late doppler compensator so that the doppler effect and the fading characteristics are compensated at the same time. By computer simulation, the proposed algorithm proved to be a much more efficient channel estimation method in the fast fading channel, even at reasonably low Eb/No.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.78-86
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• 2013

In this paper, we propose design of a high-performance vehicle imaging information system for an efficient vehicle imaging stabilization. The proposed system was designed the algorithm by divided as motion estimation and motion compensation. The motion estimation were configured as local motion vector estimation and irregular local motion vector detection, global motion vector estimation. The motion compensation was corrected for the four directions for compensate to the shake of vehicle video image using estimate GMV. The designed algorithm were designed the motion compensation technology chip by applied to IP for vehicle imaging stabilization. In this paper, the experimental results of the proposed vehicle imaging information system were proved to the effectiveness by compared with other methods, because imaging stabilization of moving vehicle was not used of memory by processing real-time. Also, it could be obtained to reduction effect of calculation time by arithmetic operation through to block matching.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1273-1280
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• 2013

The UKF algorithm for tracking moving objects has fast convergence speed and good tracking performance without the derivative computation. However, this algorithm has serious drawbacks which limit its use in conditions such as Gaussian noise distribution. Meanwhile, the particle filter(PF) is a state estimation method applied to nonlinear and non-Gaussian systems without these limitations. But this method also has some disadvantages such as computation increase as the number of particles rises. In this paper, we propose the Unscented Particle Filter (UPF) algorithm which combines Unscented Kalman Filter (UKF) and Particle Filter (PF) in order to overcome these drawbacks.The performance of the UPF algorithm was tested to compare with Particle Filter using a 2-DOF (Degree of Freedom) Pendulum System. The results show that the proposed algorithm is more suitable to the nonlinear and non-Gaussian state estimation compared with PF.