Small moving object detection using adaptive subband decomposition in video sequences

Rabi Zaibi; Enis A. Cetin; Yasemin C. Yardimci

doi:10.1117/12.392019

13 July 2000 Small moving object detection using adaptive subband decomposition in video sequences

Rabi Zaibi, Enis A. Cetin, Yasemin C. Yardimci

Proceedings Volume 4048, Signal and Data Processing of Small Targets 2000; (2000) https://doi.org/10.1117/12.392019
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In this paper, a small moving object method detection 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 Guassian. 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.

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Rabi Zaibi, Enis A. Cetin, and Yasemin C. Yardimci "Small moving object detection using adaptive subband decomposition in video sequences", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.392019

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KEYWORDS

Video

Image processing

Digital filtering

Statistical analysis

Wavelet transforms

Error analysis

Image filtering

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