Methods for Assessing the Accuracy of Video Camera Gyroscopic Stabilization Systems on a Moving Object

被引:0
|
作者
Matveev, V. V. [1 ]
Behler, I. A. [1 ]
Ponitkov, E. I. [1 ]
Pogorelov, M. G. [1 ]
机构
[1] Tula State Univ, Lenina Ave 92, Tula 300012, Russia
来源
DEVICES AND METHODS OF MEASUREMENTS | 2024年 / 15卷 / 01期
关键词
stabilization system; video camera; gyroscope; accelerometer; image blur;
D O I
10.21122/2220-9506-2024-15-1-30-39
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Video camera, are installed on platforms of gyroscopic stabilization systems in order to improve the quality of visual information and provide the required orientation of the optical axis. The goal of the work was to develop a mathematical description that allows evaluating accuracy of gyroscopic stabilization systems for a video camera on a moving object, built on micromechanical sensors for primary information. A biaxial system for gyroscopic stabilization of a video camera on a moving object is considered. A mathematical description of the channel of the stabilization system with control over angle and angular velocity is given. Measuring the angle of deviation of the platform from the horizontal plane and its angular velocity is provided by micromechanical accelerometers and gyroscopes, respectively. Physical nature of the synchronous errors' occurrence in the stabilization system during angular vibrations of a moving object is explained. An assessment of the synchronous error of the stabilization system when the object oscillates with a frequency of 30 Hz is given. An analytical relationship is presented for estimating of the stabilization system errors is caused by random errors of gyroscopes and accelerometers. It is shown that if the platform is stabilized only by gyroscope signals containing random errors such as white noise in the measurements, this will lead to the platform drifting with a standard deviation proportional to the square root of time. In this case, the constant disturbing moment is not processed. A mathematical description of the "blurring" of the video camera image during platform vibrations caused by random errors in inertial sensors is given. Effect of image blur for various platform oscillation parameters is illustrated.
引用
收藏
页码:30 / 39
页数:10
相关论文
共 50 条
  • [31] Moving Object Performance Analysis System Using Multi-camera video and Position Sensors
    Lee, Changeun
    Um, Gi-Mun
    Park, Sangjoon
    Lee, Kwang-il
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020), 2020, : 441 - 445
  • [32] Intelligent Technique for Moving Object Detection from Problematic Video Captured through Camera Sensor
    Mishra, Sneha
    Yadav, Dileep Kumar
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2024, 17 (02) : 107 - 115
  • [33] Real-time object tracking from a moving video camera: A software approach on a PC
    Rosenberg, Y
    Werman, M
    FOURTH IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION - WACV'98, PROCEEDINGS, 1998, : 238 - 239
  • [34] Meeting the application requirements of intelligent video surveillance systems in moving object detection
    Conte, D
    Foggia, P
    Petretta, M
    Tufano, F
    Vento, M
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, 2005, 3687 : 653 - 662
  • [35] Modeling and simulation of video-image stabilization and moving-object tracking for maritime authority ships
    Cao, Hui
    Yue, Jin
    Zhang, Jun-Dong
    Ren, Guang
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (23): : 5438 - 5442
  • [36] Adaptive Spatio-temporal Model Based Multiple Object Tracking in Video Sequences Considering a Moving Camera
    Tao, Yi
    Chen, Jiahui
    Fang, Yajun
    Masaki, Ichiro
    Horn, Berthold K. P.
    2018 4TH INTERNATIONAL CONFERENCE ON UNIVERSAL VILLAGE (IEEE UV 2018): HUMANKIND IN HARMONY WITH NATURE THROUGH WISE USE OF TECHNOLOGY, 2018,
  • [37] Improvement of moving object segmentation accuracy in video sequences based on adaptive symmetrical difference and background subtraction
    Li, J.
    Xu, J.
    Sang, X.
    Wang, Y.
    Yan, B.
    Yu, C.
    OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS, 2010, 4 (12): : 2172 - 2177
  • [38] Assessing Accuracy of Intraocular Measurements Made by Camera Systems Using Prosthetic Retinal Arrays
    Sabet-Peyman, E. J.
    Bertoni, B.
    Dougall, J.
    Eliott, D.
    Humayun, M.
    Pappuru, R.
    Sadda, S. R.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2010, 51 (13)
  • [39] A Comparative study of effective way to modify moving object in Video using different Inpainting methods
    Pawar, Amol J.
    Phatale, A. P.
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16), 2016,
  • [40] Background Suppression for Video Vehicle Tracking Systems with Moving Cameras Using Camera Motion Estimation
    Mazurek, Przemyslaw
    Okarma, Krzysztof
    TELEMATICS IN THE TRANSPORT ENVIRONMENT, 2012, 329 : 372 - 379