Abstract
This paper proposes a combined recognition method related to frames based on a combined CCTV system using local partial images. The goal of the proposed algorithm is to reduce the combining speed and increase the overall recognition rate compared to existing methods. Since the SIFT algorithm, an existing method, has the disadvantages of being patented and slow, speed was raised to actually match the processing speed of CCTV in this paper by using an improved local image regeneration method. This paper consists of a description of the overall system based on the recognition rate and speed and use of localized images that was built along with an introduction to the algorithm. Performance was comparatively evaluated through actual tests. By applying this method to CCTV operating in real time, a low cost inline system which reduces monitoring fatigue since each individual screen need not be observed was built. In addition to being economically effective, it can also be used by regular users.
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© 2009 Springer-Verlag Berlin Heidelberg
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Kim, JM., Kang, MA. (2009). A Study on Mosaic Based CCTV System Using Localization. In: Park, J.H., Chen, HH., Atiquzzaman, M., Lee, C., Kim, Th., Yeo, SS. (eds) Advances in Information Security and Assurance. ISA 2009. Lecture Notes in Computer Science, vol 5576. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02617-1_83
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DOI: https://doi.org/10.1007/978-3-642-02617-1_83
Publisher Name: Springer, Berlin, Heidelberg
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