Pedestrian detection algorithms based on an analysis of the autocorrelation function of a seismic signal
Sergey A. Alyamkin, S. I. Eremenko · Optoelectronics Instrumentation and Data Processing · 2011
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.