• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Moving Object Detection Using Sparse Approximation and Sparse Coding Migration

Vol. 14, No. 5, May 31, 2020
10.3837/tiis.2020.05.015, Download Paper (Free):

Abstract

In order to meet the requirements of background change, illumination variation, moving shadow interference and high accuracy in object detection of moving camera, and strive for real-time and high efficiency, this paper presents an object detection algorithm based on sparse approximation recursion and sparse coding migration in subspace. First, low-rank sparse decomposition is used to reduce the dimension of the data. Combining with dictionary sparse representation, the computational model is established by the recursive formula of sparse approximation with the video sequences taken as subspace sets. And the moving object is calculated by the background difference method, which effectively reduces the computational complexity and running time. According to the idea of sparse coding migration, the above operations are carried out in the down-sampling space to further reduce the requirements of computational complexity and memory storage, and this will be adapt to multi-scale target objects and overcome the impact of large anomaly areas. Finally, experiments are carried out on VDAO datasets containing 59 sets of videos. The experimental results show that the algorithm can detect moving object effectively in the moving camera with uniform speed, not only in terms of low computational complexity but also in terms of low storage requirements, so that our proposed algorithm is suitable for detection systems with high real-time requirements.


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Cite this article

[IEEE Style]
S. Li, Z. Hu and M. Zhao, "Moving Object Detection Using Sparse Approximation and Sparse Coding Migration," KSII Transactions on Internet and Information Systems, vol. 14, no. 5, pp. 2141-2155, 2020. DOI: 10.3837/tiis.2020.05.015.

[ACM Style]
Shufang Li, Zhengping Hu, and Mengyao Zhao. 2020. Moving Object Detection Using Sparse Approximation and Sparse Coding Migration. KSII Transactions on Internet and Information Systems, 14, 5, (2020), 2141-2155. DOI: 10.3837/tiis.2020.05.015.

[BibTeX Style]
@article{tiis:23561, title="Moving Object Detection Using Sparse Approximation and Sparse Coding Migration", author="Shufang Li and Zhengping Hu and Mengyao Zhao and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.05.015}, volume={14}, number={5}, year="2020", month={May}, pages={2141-2155}}