GNSS World of China

Volume 44 Issue 3
Jun.  2019
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CUI Jialiang, FENG Zhaohui, LI Qin, ZHAO Hongying. CNN and RNN-based pixel-wise video object tracking algorithm[J]. GNSS World of China, 2019, 44(3): 1-6. doi: DOI:10.13442/j.gnss.1008-9268.2019.03.001
Citation: CUI Jialiang, FENG Zhaohui, LI Qin, ZHAO Hongying. CNN and RNN-based pixel-wise video object tracking algorithm[J]. GNSS World of China, 2019, 44(3): 1-6. doi: DOI:10.13442/j.gnss.1008-9268.2019.03.001
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CNN and RNN-based pixel-wise video object tracking algorithm

doi: DOI:10.13442/j.gnss.1008-9268.2019.03.001

  • School of Earth and Space Sciences, Peking University,Beijing100871,China

  • Publish Date: 2019-06-15
    Abstract
  • Video object tracking is a research hotpot of computer vision, but the object tracking algorithm is one of weaknesses in localization with video. In this paper, we introduced the pixel-wise video object tracking problem. We proposed a pixel-wise video object tracking algorithm based on convolution and recurrent neural network of deep learning technology and the latest research results in image segmentation to solve the problem. By designed and conducted an experiment and evaluation on a public dataset, the algorithm shows abilities on obtaining the boundary of objects in videos.

     

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    • References(10)
  • [1]
    SCHALKOFF R J, MCVEY E S. A model and tracking algorithm for a class of video targets［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982, 4(1):2.
    [2]
    KIM C, HWANG J N. Fast and automatic video object segmentation and tracking for content-based applications［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(2):122-129.
    [3]
    RONNEBERGER O, FISCHER P, BROX T. UNet: Convolutional networks for biomedical image segmentation［C］／／International Conference on Medical Image Computing and ComputerAssisted Intervention, 2015.
    [4]
    BADRINARAYANAN V, KENDALL A, CIPOLLA R. SegNet: A deep convolutional encoder-decoder architecture for image segmentation［J］.IEEE transactions on pattern analysis and machine intelligence, 2017, 39(12): 2481-2495.
    [5]
    HUA C, WU H Y, CHEN Q, et al. A pixel-wise object tracking algorithm with target and background sample［C］／／International Conference on Pattern Recognition, 2006.
    [6]
    SONF Y L, LI C, YAO W. Pixel-wise object tracking［J］. CoPR abs/1711.07377 ,2017: 265-283.
    [7]
    HOCHREITER S, SCHMIDHUBER J. Long shortterm memory［J］. Neural Computation, 1997, 9(8):1735-1780.
    [8]
    HAN J, MORAGA C. The influence of the sigmoid function parameters on the speed of backpropagation learning［C］／／International Workshop on Artificial Neural Networks. Springer, Berlin, Heidelberg, 1995: 195-201.
    [9]
    VOJIR T, MATAS J. Pixel-wise object segmentations for the VOT2016 dataset［R］. Research Report  CTU-CMP-2017-01, Center for Machine Perception, Czech Technical University, Prague, Czech Republic, 2017.
    [10]
    ABADI M, BARHAM P, CHEN J, et al. TensorFlow: A system for large-scale machine learning［C］//12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16), 2016: 265-283.
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