Abstract
In this paper, we present a novel moving target detection called Local Trinary Patterns which is based on Local Binary Patterns algorithm, The standard LBP mainly captures the texture information, and in some circumstances it results in misidentification. The proposed LTP feature, in contrast, captures the gradient information and some texture information. Moreover, the proposed LTP are easy to implement and computationally efficient, which is desirable for real-time applications. Experiments show that this algorithm can significantly improve the detection performance and produce state of the art performance.
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Zhan, X., Li, X. (2012). Lecture Notes in Computer Science: Local Trinary Patterns Algorithm for Moving Target Detection. In: Luo, J. (eds) Soft Computing in Information Communication Technology. Advances in Intelligent and Soft Computing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29148-7_23
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DOI: https://doi.org/10.1007/978-3-642-29148-7_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29147-0
Online ISBN: 978-3-642-29148-7
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