Informatics Publishing Limited

Abstract

In this paper, we propose a moving object extraction technique for MPEG coded data directly. It is a change based motion object extraction approach, which discriminates background and moving objects by means of the higher-order statistics (HOS) performed on the inter frame differences of DC image. The DC image is partly decoded picture from the compressed video for the rapid reconstruction of image data. In order to employ an optimal threshold in moving object detection stage, the background is detected by the Moment-preserving thresholding technique for each frame. Based on the background statistic, the proportion of background variance is employed to extract the final object mask by comparison the fourth moment measure and the variance. Experimental results have demonstrated that the proposed approach worked efficiently and shown a robust result for object extraction in compressed video.

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Abstract

A numerical method for analysis of new types of Complementary direct sequence complex signals which have synthesized and compare with well - know code sequences like Barker and Golay complementary codes. Build on the autocorrelation and ambiguity functions of signals, the numerical method estimates the volume of side lobes separately for each signal. The results obtained show, that the signals, which have a low volume of side lobes, are complementary codes.

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