Due to the tremendous volume of data generated by urban surveillance systems, big data oriented lowcomplexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automati...Due to the tremendous volume of data generated by urban surveillance systems, big data oriented lowcomplexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. This method is both simple and robust with respect to changes in light conditions.展开更多
基金supported by the projects under the grants Nos. 2016B050502001 and 2015A050502003
文摘Due to the tremendous volume of data generated by urban surveillance systems, big data oriented lowcomplexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. This method is both simple and robust with respect to changes in light conditions.
