• The KIPS Transactions:PartB
• /
• v.12B no.3 s.99
• /
• pp.301-312
• /
• 2005

Three different cases should be considered for motion tracking: moving object with fixed camera, fixed object with moving camera and moving object with moving camera. Two methods are widely used for motion tracking: the optical flow method and the difference frame method. The optical new method is mainly used when either one, object or camera is fixed. This method tracks object using time-space vector which compares object position frame by frame. This method requires heavy computation, and is not suitable for real-time monitoring system such as DVR(Digital Video Recorder). The different frame method is used for moving object with fixed camera. This method tracks object by comparing the difference between background images. This method is good for real-time applications because computation is small. However, it is not applicable if the camera is moving. This thesis proposes and implements the motion tracking system using the difference frame method with PTZ(Pan-Tilt-Zoom) control. This system can be used for moving object with moving camera. Since the difference frame method is used, the system is suitable for real-time applications such as DVR.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.3 no.2
• /
• pp.389-396
• /
• 1999

In this paper, we propose a multiple underwater object classification and tracking algorithm using the narrowband tonal and frequency line features extracted from the frequency spectrum of the acoustic signal. The general algorithm using the wideband and narrowband energy has a high tracking error when objects are close and cross each other. But the proposed algorithm shows a good tracking performance for the simulation scenarios generated by the real acoustic data.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.1
• /
• pp.191-196
• /
• 2006

This paper presents the moving object tracking method using vision system. In order to track object in real time, the image of moving object have to be located the origin of the image coordinate axes. Accordingly, Fuzzy Control System is investigated for tracking the moving object, which control the camera module with Pan/Tilt mechanism. Hereafter, so the this system is applied to mobile robot, we design and implement image processing board for vision system. Also fuzzy controller is implemented to the StrongArm board. Finally, the proposed fuzzy controller is useful for the real-time moving object tracking system by experiment.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.29 no.7
• /
• pp.523-531
• /
• 2018

An analysis technique for detecting moving targets on a single-channel airborne frequency-modulated continuous-wave (FMCW) technology and synthetic aperture radar (SAR) image is presented. To analyze the relative velocities of moving targets, an FMCW-based signal model for stationary and moving targets was studied, and a SAR ambiguity function considering its signal model was simulated. The relative velocities of the moving targets on a reconstructed SAR image can be estimated by peak searching of the SAR ambiguity function, and the stationary and moving targets are easily distinguished when there is a large variation of the relative velocity. Analysis results of the moving targets on a reconstructed FMCW-SAR image, using practical airborne data and a SAR ambiguity process, are compared with the in situ testing in the study area.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.8 no.4
• /
• pp.249-256
• /
• 2015

Shadow is a common physical phenomenon in natural images and may cause problems in computer vision tasks. Therefore, shadow removal is an essential preprocessing process for effective moving object tracking in video image. In this paper, we proposed the method of shadow removal algorithm using chromaticity, brightness distortion and direction of shadow candidate. The proposed method consists of two steps. First, removal process of primary shadow candidate region by using chromaticity, brightness and distortion. The second stage applies the final shadow candidate region to obtain a direction feature of shadow which is estimated by the thinning algorithm after calculating the lowest pixel position of the moving object. To verify the proposed approach, some experiments are conducted to draw a compare between conventional method and that of proposed. Experimental results showed that proposed methodology is simple, but robust and well adaptive to be need to remove a shadow removal operation.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.16 no.11
• /
• pp.1132-1142
• /
• 1991

This paper proposed a method of feature parameter extraction for shape information analysis of moving object. In the 2-D plane, moving object are extracted by the difference method. Feature parameters of moving object are chosen area, perimeter, a/p ratio, vertex, x/y ratio. We changed brightness variation from the range of 600Lux to the 1400Lux and then determined Permissible Error range of feature parameter due to the brightness variation. So as to verify the validity of proposed method, experiment are performed with a toy car and it's results showed that decision error was less than 6%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2010.05a
• /
• pp.180-183
• /
• 2010

본 연구에서는 개선된 영역기반의 패턴매칭 기법을 사용하여 이동물체의 탐색과 검출을 수행하였다. 시간에 따라 변화하는 이동물체의 안정된 추적을 위해 매 영상 프레임마다 이동물체의 윤곽선을 탐지하여 다음 영상에서의 템플릿으로 사용하기 위해 갱신하였으며, 패턴매칭의 연산속도 향상을 위해 패턴 정합률에 따라 영상을 다른 비율로 압축하여 추적하는 방법을 제안하였다. 기존의 영상파일을 사용하여 시뮬레이션 한 결과 이동물체의 검출과 추적에 양호한 동작을 보여주었으며 제안된 방법의 실시간 동작 가능성을 조사하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.09b
• /
• pp.87-90
• /
• 2003

과거의 이동로봇 시스템은 완전한 자율주행이 주된 목표였으며 그때의 영상정보는 단지 모니터링을 하는 보조적인 수단으로 사용되었다. 그러나 지금은 이동 물체의 추적, 대상 물체의 인식과 판별, 특징 추출과 같은 다양한 응용분야에서 영상정보를 이용하는 연구가 활발히 진행되고 있다 또한 제어 측면에서는 전통적인 제어기법으로는 해결하기 힘들었던 여러 가지 비선형적인 제어를 지능제어 방법을 통하여 많이 해결하곤 하였다. 그러한 지능제어에서 신경망을 많이 사용하기도 한다. 최근에는 신경망의 학습에 많이 사용하는 방법 중 강화학습이 많이 사용되고 있다. 강화학습이란 동적인 제어평면에서 시행착오를 통해, 목적을 이루기 위해 각 상황에서 행동을 학습하는 방법이다. 그러므로 이러한 강화학습은 수많은 시행착오를 거쳐 그 대응 관계를 학습하게 된다. 제어에 사용되는 제어 파라메타는 어떠한 상태에 처할 수 있는 상태와 행동들, 그리고 상태의 변화, 또한 최적의 해를 구할 수 있는 포상알고리즘에 대해 다양하게 연구되고 있다. 본 논문에서 연구한 시스템은 비젼시스템과 Strong Arm 보드를 이용하여 대상물체의 색상과 형태를 파악한 후 실시간으로 물체를 추적할 수 있게 구성하였으며, 또한 물체 이동의 비선형적인 경향성을 강화학습을 통하여 물체이동의 비선형성을 보다 유연하게 대처하여 보다 안정하고 빠르며 정확하게 물체를 추적하는 방법을 실험을 통하여 제안하였다.

• The KIPS Transactions:PartB
• /
• v.12B no.7 s.103
• /
• pp.721-728
• /
• 2005

This paper suggests effective object detection system for moving objects with specified color and motion information. The proposed detection system includes the object extraction and definition process which uses MCN(Multiple Color Normalization) and MCWUPC(Moving Color Weighted Unmatched Pixel Count) computation to decide the existence of moving object and object segmentation technique using signature information is used to exactly extract the objects with high probability. Finally, real time detection system is implemented to verify the effectiveness of the technique and experiments show that the success rate of object tracking is more than $89\%$ of total 120 image frames.

• Journal of Advanced Navigation Technology
• /
• v.18 no.4
• /
• pp.387-392
• /
• 2014

Recently, various research for intelligent video surveillance system have been proposed, but the existing monitoring systems are inefficient because all of situational awareness is judged by the human. In this paper, shadow removal based moving object tracking method is proposed using the chromaticity and entropy image. The background subtraction model, effective in the context awareness environment, has been applied for moving object detection. After detecting the region of moving object, the shadow candidate region has been estimated and removed by RGB based chromaticity and minimum cross entropy images. For the validity of the proposed method, the highway video is used to experiment. Some experiments are conducted so as to verify the proposed method, and as a result, shadow removal and moving object tracking are well performed.