The motivation and the current status of moving object detecting research were reviewed firstly, and a novel method was proposed and verified in this paper. The method works mainly by using gradient information, threeframe- differencing and connectivity-testing-based noise reduction. The results of theoretical analyses and computer simulation show that the method has some advantages over its competitors, e.g., a wider application range, a less computation complexity and a faster processing speed. Thus, it is able to work rather robust in a noisy environment. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Zhao, S., Zhao, J., Wang, Y., & Fu, X. (2006). Moving object detecting using gradient information, three-frame- differencing and connectivity testing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4304 LNAI, pp. 510–518). Springer Verlag. https://doi.org/10.1007/11941439_55
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