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Moving target detection based on improved Gaussian mixture model considering camera motion

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Abstract

This paper proposes a moving target detection scheme suitable for camera motion. Firstly, the background model is initialized by a Gaussian mixture model algorithm. Then Kanade-Lucas-Tomasi Feature Tracker (KLT) method is used to detect optical flow feature points of two adjacent frames, RANdom SAmple Consensus (RANSAC) algorithm is used to filter out the correct matching points and obtain a homography matrix, which can recover the background model matching the current frame, the new background model is used to detect moving target of the current frame. In the foreground detection stage, the current pixel is first compared with its own background model, and then compared with the background model of its 8 neighborhood pixels, the algorithm is speeded up without reducing the detection accuracy in this way; In the update stage of the background model, in order to adapt to the background changes caused by camera motion, an age value variable is set for each pixel. The experimental results show that the improved algorithm has a significant improvement in detection accuracy and running time compared to Gaussian mixture background modeling.

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Acknowledgements

The research was partly supported by the National Natural Science Foundation of China (No.61502340), the Natural Science Foundation of Tianjin (No.18JCYBJC87700), the South African National Research Foundation Incentive Grant (No.114911) and the Tertiary Education Support Programme (TESP) of South African ESKOM.

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Authors and Affiliations

  1. Complex System Control Theory and Application Key Laboratory, Tianjin University of Technology, 391, Binshui Xidao, Xiqing District, Tianjin, 300384, China

    Enzeng Dong, Bo Han, Hao Jian & Jigang Tong

  2. Department of Electrical and Mining Engineering, University of South Africa, Florida, 1710, South Africa

    Zenghui Wang

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  1. Enzeng Dong
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  2. Bo Han
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  3. Hao Jian
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  4. Jigang Tong
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  5. Zenghui Wang
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Correspondence to Enzeng Dong or Jigang Tong.

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Dong, E., Han, B., Jian, H. et al. Moving target detection based on improved Gaussian mixture model considering camera motion. Multimed Tools Appl 79, 7005–7020 (2020). https://doi.org/10.1007/s11042-019-08534-9

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