Abstract
Moving Object Detection Based on Global Motion Video Sequence, Background’s movement mainly behave in the translation and scaling. Due to camera movement caused the background produces a zoom. This paper present an improved gray-scale projection algorithm. This method can quickly estimate the scaling parameters between the two images before and after, and then refer to the background of the reference frame. The background is mapped to the current frame image according to the scaling parameters. Using this algorithm to improve the three-frame difference method can accurately detect the moving target. Experimental results show, this method can effectively extract the target in the video sequence.
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Acknowledgments
This article is completed by Professor Xudong Yang’s careful guidance and strong support. Mr. Yang gave me a lot of help in both topic and experimentation, so that I had a good experimental environment. In addition, thanks to my classmate Jun Zhe Zhang’s selfless help Mr Zhang help me carry out research work and complete the experiment. So I can successfully complete the paper.
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Tang, Yc., Yang, Xd. (2018). A Method of Moving Target Detection Based on Scaling Background. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_47
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DOI: https://doi.org/10.1007/978-3-319-69096-4_47
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