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Moving target extraction and background reconstruction algorithm

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Abstract

It is difficult for the computer to distinguish the target from the background due to the long-time static of the target after moving. A new moving target detection and background reconstruction algorithm is proposed and is applied into the RGB video for the first time. Firstly, the proposed algorithm builds a model from the time dimension to extract the changed region. Then, it combines with the space dimension information to completely extract the moving target. The spatiotemporal correlation model is established to realize the construction of pure background. The experimental results show that the proposed algorithm can effectively reconstruct the background and the recognition rate of moving target is high.

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Acknowledgements

This work is supported by the Open Project Program of the State Key Lab of CAD&CG (Grant No. A2026), Zhejiang University. National Natural Science Foundation of China (Grant No. 61873145).

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Authors and Affiliations

  1. Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, People’s Republic of China

    Shi Qiu

  2. Shanghai Jiao Tong University, Shang hai, People’s Republic of China

    Xuemei Li

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  1. Shi Qiu
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Qiu, S., Li, X. Moving target extraction and background reconstruction algorithm. J Ambient Intell Human Comput 14, 6007–6015 (2023). https://doi.org/10.1007/s12652-020-02619-2

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