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Title: Moving object identification using advanced algorithm for video surveillance
Authors: Karthika Menon, Ismayil Siyad
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 17
Language: English
Surveillance systems in real world limited bandwidth network face troubles due to obstruction in network. This created the necessity of a sophisticated algorithm that may be utilized in real time applications. This paper implicates principal component analysis based radial basis function for motion detection. Implementation in real world applications is the major goodness of this technique. This algorithm is preferable with variable bit rate video streams which makes wireless video communication at ease. Once the moving object detected human presence is known that widens the relevance of this method. This methodology is favorable for its effectiveness.
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