Abstract
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, three-frame-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.
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Zhao, S., Zhao, J., Wang, Y., Fu, X. (2006). Moving Object Detecting Using Gradient Information, Three-Frame-Differencing and Connectivity Testing. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_55
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DOI: https://doi.org/10.1007/11941439_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49787-5
Online ISBN: 978-3-540-49788-2
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