Abstract
Background modeling of image segmentation is the most important role to image analysis and interpretation. Background modeling methods can be divided into the adaptive median filtering (AMF) and Gaussian mixture model (GMM). In this paper, we proved the superiority of AMF performance through comparison of GMM. In the first, background modeling that is based on GMM and the AMF compared to the performance in order to detect object by segmentation. AMF background modeling selected with performance measures is used to object detection. AMF modeling has demonstrated superior method than conventional methods through specific predefined conditions by profiling.
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© 2012 Springer Science+Business Media Dortdrecht
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Park, SJ., Moon, YD., Kang, DS. (2012). Prediction System of the Situation Using the Fast Object Detection and Profiling. In: J. (Jong Hyuk) Park, J., Leung, V., Wang, CL., Shon, T. (eds) Future Information Technology, Application, and Service. Lecture Notes in Electrical Engineering, vol 164. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4516-2_53
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DOI: https://doi.org/10.1007/978-94-007-4516-2_53
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