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- 2014-04-15
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Description: For kernel density estimation is difficult to satisfy real-time applications because of large amount of calculation, this paper
proposes a fast kernel density estimation method of background modeling based on the background histogram. Triangle kernel function
is used to estimate the kernel density. According to the triangular truncation effect of kernel-bandwidth function, background samples
histogram is built to complete the fast background modeling. The accuracy of target detection is ensured while processing speed is increased.
Experimental results prove that the algorithm satisfies the real-time requirements of surveillance systems
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一种快速核密度估计背景建模方法_乔俊锋.pdf
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