Pedestrian Detection Algorithms Based on an Analysis of the Autocorrelation Function of a Seismic Signal

被引：10
|
作者：
Alyamkin, S. A. [1 ]
Eremenko, S. I. [1 ]
机构：
[1] Uniscan Co, Ul Arbuzova 4-26, Novosibirsk 630117, Russia
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2011年 / 47卷 / 02期
关键词：
seismic monitoring systems; pedestrian detection; autocorrelation function; algorithm complexity;
D O I：
10.3103/S8756699011020038
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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.
引用
收藏
页码：124 / 129
页数：6
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