Small moving object detection using adaptive subband decomposition in video sequences
Çetin, A. Enis
Yardımcı, Y. C.
Proceedings of SPIE Vol. 4048, Signal and Data Processing of Small Targets 2000
134 - 141
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In this paper, a small moving object method detection method in video sequences is described. In the first step, the camera motion is eliminated using motion compensation. An adaptive subband decomposition structure is then used to analyze the motion compensated image. In the 'low-high' and 'high-low' subimages small moving objects appear as outliers and they are detected using a statistical Gaussianity detection test based on higher order statistics. It turns out that in general, the distribution of the residual error image pixels is almost Gaussian. On the other hand, the distribution of the pixels in the residual image deviates from Gaussianity in the existence of outliers. Simulation examples are presented.
Adaptive subband decomposition
Higher order statistics
Least mean square
Moving object detection
Statistical Gaussianity detection test