• Title/Summary/Keyword: Image stabilization

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Fast Digital Image Stabilization based on Edge Detection (경계 검출을 이용한 고속 디지털 영상 안정화 기법)

  • Kim, Jung-Hwan;Kim, Jin-Hyung;Byun, Keun-Yung;Ko, Sung-Jea
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.823-824
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    • 2008
  • In this paper, we propose a robust and fast digital image stabilization algorithm based on edge detection. The proposed algorithm exploits sobel operator to obtain edge image and fast detects irregular conditions with analyzing an edge information of the image. Experimental results show that the proposed algorithm can gain better performance in the sense of speed and precision comparing with full-block search method.

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Stabilization Technique for 360 VR Video Sequences (360 VR 영상용 흔들림 제거 기술)

  • Kim, Geun-Bae;Lee, Jae-Yung;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.817-828
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    • 2017
  • In this paper, we propose an efficient stabilization algorithm for 360 VR sequence, where the geometric information and the relationship between various projection formats have been utilized. The proposed scheme consists of '1st stitching', 'extraction of wide angle picture from VR data', 'stabilization', and '2nd stitching'. The simulation results show that the proposed method outperforms the conventional algorithms in the viewpoint of image quality for end-user.

A Simultaneous Experimental Disturbances Identification of Gyro Stabilized 2-Axes Gimbal System for Disturbance Feedforward Compensation Control (2-축 자이로 안정화 김발 시스템의 외란보상 앞먹임 제어를 위한 실험적 2-축 외란 동시 식별)

  • Yeo, Sung Min;Kang, Min Sig
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.4
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    • pp.508-519
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    • 2018
  • This paper concerns on stabilization control of a gyro-stabilized 2-axes gimbal system which is mounted on a moving vehicles such as automobiles, armored vehicles, ships, flying vehicles, etc. A target image acquisition system is attached on the inner gimbal, and the gimbal systems are required to retain high stabilization accuracy in the absolute coordinate in order to provide fine target image while vehicle is moving. The stabilization control performance is hardly depended upon disturbance rejection ability of control, and disturbance feedforward compensation is effective because feedforward compensation reduce the amount of disturbance before the disturbance disturbs the systems. This paper suggests an experimental method which can estimate system parameters and disturbance torques by using 3-axes accelerometer mounted on the inner gimbal. Furthermore, a simple disturbance identification method which can be applied to any slanted base conditions has been suggested to identify mass unbalance vector and friction torques of each gimbal simultaneously. By using the estimated parameters, a feedforward compensation has been applied to the gyro-stabilized 2-axes gimbal system. The experimental results showed that the feedforward compensation based on the identification method suggested is effective to improve stabilization performances.

A Control System Design for the Line-of-Sight Stabilization based on Low-Cost Inertial Sensors (저가 관성센서 기반의 시선안정화 제어시스템 설계)

  • 위정현;홍성경
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.3
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    • pp.204-209
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    • 2003
  • The line-of-sight stabilization system is an equipment which is loaded on a vehicle and stabilizes the direction of the line-of-sight of the vision sensor to obtain a not-swayed image in the existence of external disturbances. To obtain accurate Euler angles and angular velocities simultaneously we usually need a control system which uses high-price inertial sensors including Vertical Gyro(VG) or Rate Integrating Gyro(RIG). In this paper, we design and implement a control system of a gimbal, which is a line-of-sight stabilization system using a low-cost mixed algorithm of a rate gyro and an accelerometer instead of a VG and a RIG. In the experiment where we laid the implemented line-of-sight stabilization system on the rate table. we can see the stabilized performance to external disturbances.

UAV(Unmanned Aerial Vehicle) image stabilization algorithm based on estimating averaged vehicle motion (기체의 평균 움직임 추정에 기반한 무인항공기 영상 안정화 알고리즘)

  • Lee, Hong-Suk;Ko, Yun-Ho;Kim, Byoung-Soo
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.216-218
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    • 2009
  • This paper proposes an image processing algorithm to stabilize shaken scenes of UAV(Unmanned Aerial Vehicle) caused by vehicle self-vibration and aerodynamic disturbance. The proposed method stabilizes images by compensating estimated shake motion which is evaluated from global motion. The global motion between two continuous images modeled by 6 parameter warping model is estimated by non-linear square method based on Gauss-Newton algorithm with excluding outlier region. The shake motion is evaluated by subtracting the global motion from aerial vehicle motion obtained by averaging global motion. Experimental results show that the proposed method stabilize shaken scenes effectively.

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Euler Angle-Based Global Motion Estimation Model for Digital Image Stabilization (디지털 영상 안정화를 위한 오일러각 기반 전역 움직임 추정 모델)

  • Kwak, Hwy-Kuen;Lyou, Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.11
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    • pp.1053-1059
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    • 2010
  • This paper treats the DIS (Digital Image Stabilization) problem subject to base motions such as translation, rotation and zoom. For the local motion estimation from a raw image, the Harris corner detection algorithm is exploited to extract feature points, and comparing those of consecutive images, the zoom ratio (scale factor) is computed. For the global motion estimation, an equivalent model is derived to account for a 3-dimensional composite motion from which the center point and Euler angle can be determined. Finally, the motion compensation follows. To show the effectiveness of the present DIS scheme, experimental results for synthetic images are illustrated.

Tracking of ground objects using image information for autonomous rotary unmanned aerial vehicles (자동 비행 소형 무인 회전익항공기의 영상정보를 이용한 지상 이동물체 추적 연구)

  • Kang, Tae-Hwa;Baek, Kwang-Yul;Mok, Sung-Hoon;Lee, Won-Suk;Lee, Dong-Jin;Lim, Seung-Han;Bang, Hyo-Choong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.5
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    • pp.490-498
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    • 2010
  • This paper presents an autonomous target tracking approach and technique for transmitting ground control station image periodically for an unmanned aerial vehicle using onboard gimbaled(pan-tilt) camera system. The miniature rotary UAV which was used in this study has a small, high-performance camera, improved target acquisition technique, and autonomous target tracking algorithm. Also in order to stabilize real-time image sequences, image stabilization algorithm was adopted. Finally the target tracking performance was verified through a real flight test.

Trunk Stabilization Exercise Using a Both Sides Utilized Ball in Children With Spastic Diplegia: Case Study

  • Sim, Yon-ju;Kim, Jeong-soo;Yi, Chung-hwi;Cynn, Heon-seock
    • Physical Therapy Korea
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    • v.22 no.4
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    • pp.79-86
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    • 2015
  • This study examined the effects of trunk stabilization exercise on balance and trunk control in children with spastic diplegia. Four children with ambulatory spastic diplegia participated in the trunk stabilization exercise program using a Both Sides Utilized (BOSU) ball, 30 minutes a day, two times a week for eight weeks. Outcome variables included the pediatric balance scale, trunk control movement scale and multifidus thickness using ultrasound image. After trunk stabilization exercise, there was statistically no significant improvement in pediatric balance scale, trunk control movement scale and multifidus thickness. However, individual outcomes were observed with some positive changes. Balance, trunk control movement, and thickness of multifidus were found to be improved. Trunk stabilization exercise using a BOSU ball could improve trunk control and increase the thickness of multifidus in children with spastic diplegia. Further investigation is needed to evaluate subjects according to type of cerebral palsy and to understand the relationship between postural control and gait.

Posture Stabilization Control for Mobile Robot using Marker Recognition and Hybrid Visual Servoing (마커인식과 혼합 비주얼 서보잉 기법을 통한 이동로봇의 자세 안정화 제어)

  • Lee, Sung-Goo;Kwon, Ji-Wook;Hong, Suk-Kyo;Chwa, Dong-Kyoung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.8
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    • pp.1577-1585
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    • 2011
  • This paper proposes a posture stabilization control algorithm for a wheeled mobile robot using hybrid visual servo control method with a position based and an image based visual servoing (PBVS and IBVS). To overcome chattering phenomena which were shown in the previous researches using a simple switching function based on a threshold, the proposed hybrid visual servo control law introduces the fusion function based on a blending function. Then, the chattering problem and rapid motion of the mobile robot can be eliminated. Also, we consider the nonlinearity of the wheeled mobile robot unlike the previous visual servo control laws using linear control methods to improve the performances of the visual servo control law. The proposed posture stabilization control law using hybrid visual servoing is verified by a theoretical analysis and simulation and experimental results.

Adaptive Keyframe and ROI selection for Real-time Video Stabilization (실시간 영상 안정화를 위한 키프레임과 관심영역 선정)

  • Bae, Ju-Han;Hwang, Young-Bae;Choi, Byung-Ho;Chon, Je-Youl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.288-291
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    • 2011
  • Video stabilization is an important image enhancement widely used in surveillance system in order to improve recognition performance. Most previous methods calculate inter-frame homography to estimate global motion. These methods are relatively slow and suffer from significant depth variations or multiple moving object. In this paper, we propose a fast and practical approach for video stabilization that selects the most reliable key frame as a reference frame to a current frame. We use optical flow to estimate global motion within an adaptively selected region of interest in static camera environment. Optimal global motion is found by probabilistic voting in the space of optical flow. Experiments show that our method can perform real-time video stabilization validated by stabilized images and remarkable reduction of mean color difference between stabilized frames.

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