This paper proposes a scheme for efficient compression of wide-area aerial video collectors (WAVC) data, based on background modeling and foreground detection using a Gaussian mixture at each pixel. The method implements the novel approach of treating the pixel intensities and wavelet coefficients as random variables. A modified JPEG 2000 algorithm based on the algebra of random variables is then used to perform the compression on the model. This approach leads to a very compact model which is selectively decompressed only in foreground regions. The resulting compression ratio is on the order of 16:1 with minimal loss of detail for moving objects. © Springer-Verlag Berlin Heidelberg 2013.
CITATION STYLE
Biris, O., & Mundy, J. L. (2013). High Resolution Surveillance Video Compression Using JPEG2000 Compression of Random Variables. In Communications in Computer and Information Science (Vol. 359 CCIS, pp. 301–312). Springer Verlag. https://doi.org/10.1007/978-3-642-38241-3_20
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