QIU Shi, TANG Ying, ZHANG Wenbo, et al., “The Motion Planets Detection and Tracking Algorithm Based on Gestalt Principle,” Chinese Journal of Electronics, vol. 27, no. 4, pp. 808-812, 2018, doi: 10.1049/cje.2017.11.006
Citation: QIU Shi, TANG Ying, ZHANG Wenbo, et al., “The Motion Planets Detection and Tracking Algorithm Based on Gestalt Principle,” Chinese Journal of Electronics, vol. 27, no. 4, pp. 808-812, 2018, doi: 10.1049/cje.2017.11.006

The Motion Planets Detection and Tracking Algorithm Based on Gestalt Principle

doi: 10.1049/cje.2017.11.006
Funds:  This work is supported by CAS "Light of West China" Program (No.XAB2016B23), the Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences (No.LSIT201717G), the "Modern Information Detection and Intelligent Processing" Subject Construction of Chengdu University of Technology, and the National Natural Science Foundation of China (No.61501357).
More Information
  • Corresponding author: TANG Ying (corresponding author) received the M.S. degree from University of Electronic Science and Technology of China. She is now an associate professor in Chengdu University of Technology. Her main research interest focuses on embedded technology. (Email:tangying@mail.cdut.edu.cn)
  • Received Date: 2016-12-08
  • Rev Recd Date: 2017-03-17
  • Publish Date: 2018-07-10
  • The moving planets have a few of pixels which can lead to lacking enough image characteristics when tracking them. So we propose the motion planets detection and tracking algorithm based on gestalt principle. We structure Gaussian mixture model to detect the motion area from the visual cognition perspective, and use astronomy images graphics characteristics to confirm the planet position. Then we propose space-time fusion model for tracking planet. All the experiments use 1000 16-bitframe images of wide view CCD camera which contain 5684 motion planets in total. The results show that our algorithm reaches an accuracy of 94% and has robustness.
  • loading
  • Xinguo Wei, Jia Xu, Jian Li, et al., "S-curve centroiding error correction for star sensor", Acta Astronautica, Vol.99, pp.231-241, 2014.
    D. Meyer, J. Denzler and H. Niemann, "Model based extraction of articulated objects in image sequences for gait analysis", Proc. of International Conference on Image Processing, Vol.3, pp.78-81, 1977.
    Jinyun Yan, Jie Jiang, Guangjun Zhang, "Dynamic imaging model and parameter optimization for a star tracker", Optics Express, Vol.24, No.6, pp.5961-5983, 2016.
    Ting Sun, Fei Xing, Zheng You, et al., "Smearing model and restoration of star image under conditions of variable angular velocity and long exposure time", Optics Express, Vol.22, No.5, pp.6009-6024, 2014.
    Haibo Liu, Jiankun Yang, Jiongqi Wang, et al., "Star spot location estimation using Kalman filter for star tracker", Applied Optics, Vol.50, No.12, pp.1735-1744, 2011.
    Y. Barniv, "Dynamic programming solution for detecting dim moving targets", IEEE Transactions on Aerospace and Electronic Systems, Vol.21, No.1, pp.144-156, 1985.
    Shi Qiu, Desheng Wen, Ying Cui, et al., "Lung nodules detection in CT images using Gestalt-based algorithm", Chinese Journal of Electronics, Vol.25, No.4, pp.711-718, 2016.
    M. Hörhan and H. Eidenberger, "Gestalt interest points for image description in weight-invariant face recognition", Sixth International Conference on Graphic and Image Processing (ICGIP), Page 944307, 2015.
    Jie Jiang, Feilong Ji, Jinyun Yan, et al., "Redundant-coded radial and neighbor star pattern identification algorithm", IEEE Transactions on Aerospace and Electronic Systems, Vol.51, No.4, pp.2811-2822, 2015.
    Yushan Gao, Shiqiao Qin, Guangwen Jiang, et al., "Dynamic smearing compensation method for star centroding of star sensors", Metrology for Aerospace, pp.221-226, 2016.
    H. Zheng, Y. Huang, H.B. Ling, et al., "Accurate segmentation for infrared flying bird tracking", Chinese Journal of Electronics, Vol.25, No.4, pp.625-631, 2016.
    K. Moon, W. Park and C.K. Ryoo, "Performance improvement of low-cost star-tracker simulator via image distortion compensation", Society of Instrument and Control Engineers of Japan (SICE), pp.842-847, 2015.
    J. Zhang, Y.C. Hao and L. Wang, "General constraints on influential error sources for super-high accuracy star tracker", Optics Express, Vol.24, No.6, pp.5961-5983, 2016.
    W. Xiaojuan and W. Xinlong, "Multiple blur of star image and the restoration under dynamic conditions", Acta Astronautica, Vol.68, No.11, pp.1903-1913, 2011.
    W. Wenlong, H. Baojun and Z. Hongping, "A new algorithm of small target detection for ifrared image in background of sea and sky", Acta Photonica Sinica, Vol.3, Page 58, 2009.
    C. Deli, H. Chunlin and Yi Su, "An integrated method of statistical method and Hough transform for GPR targets detection and location", Acta Electronica Sinica, Vol.32, No.9, pp.1468-1471, 2004.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (543) PDF downloads(180) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return