Abstract
A fast and reliable motion detection algorithm is very important to an intelligent surveillance system. Local Binary Pattern (LBP) is one of powerful texture description and comparison mechanisms, but in contrast consumes a large portion of computational time in a CPU based system. In this paper, we propose a moving object detection algorithm based on the improved LBP operator which is tolerant against pixel noise. Combining the background subtraction algorithm and the frame difference algorithm, the automatic refreshing of the background is realized. The moving object detection system which can achieve real time processing of a 1024 × 768/60 Hz VGA signal is designed on a PFGA chip and all the algorithms are mapped to hardware logic. ROC curves of the experiments demonstrate that in the condition with shifty illumination, the algorithm based on LBP operator has a better performance than the algorithm based on grayscales.
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Acknowledgements
This research is supported by the grant No. JK2014003 and No. JA14038 from the Educational Department of Fujian Province, the grant No. 2015J05124 from Science and Technology Department of Fujian Province, the grant No. LXKQ201504 from ministry of education of China.
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Lin, P., Zheng, B., Chen, Z., Wu, L., Cheng, S. (2015). Motion Detection System Based on Improved LBP Operator. In: Bikakis, A., Zheng, X. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2015. Lecture Notes in Computer Science(), vol 9426. Springer, Cham. https://doi.org/10.1007/978-3-319-26181-2_24
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DOI: https://doi.org/10.1007/978-3-319-26181-2_24
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