Pedestrian Detection Algorithms Based on an Analysis of the Autocorrelation Function of a Seismic Signal
S. A. Alyamkin, S. I. Eremenko
Uniscan Company
alyamkin@uniscan.biz, seremenko@uniscan.biz
Keywords: seismic monitoring systems, pedestrian detection, autocorrelation function, algorithm complexity
Pages: 26-32
Abstract
A pedestrian detection algorithm based on an analysis of the autocorrelation function of a seismic signal is proposed. The efficiency of this method in terms of detection and false alarm probabilities is shown. Approaches to reducing the complexity of the proposed algorithm are considered. A comparative study is made of the effects of the point sampling frequency and the method of calculating the autocorrelation function on the performance and complexity of the pedestrian detection algorithm.
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