Personnel target identification method for unattended sensor system

Abstract

The invention discloses a personnel target identification method for an unattended sensor system. The personnel target identification method comprises the following steps of S1, preprocessing the data; converting the original data acquired by the unattended ground sensor equipment into two forms of data of the time sequence data and the power spectral density spectrum data; S2, training a recurrent neural network; taking the two types of data obtained in the step S1 as the training samples respectively, and inputting the training samples into two different recurrent neural networks respectively for training; S3, connecting the recurrent neural network identification signals in parallel; connecting the two models generated through training in the step S2 in parallel, wherein one model judges whether a person walks or not, the other model judges whether the person runs or not, carrying out the OR operation on the results of the two models, and finally judging whether the person walks ornot. The method has the advantages that the principle is simple, the personnel can be detected in real time, and the recognition accuracy can be remarkably improved, etc.

Description

technical field [0001] The invention mainly relates to the field of pattern recognition adapted to human targets, in particular to a human target recognition method for an unattended sensor system. Background technique [0002] The methods of human target recognition in traditional unattended sensor systems include: zero-crossing analysis and wavelet transform. The running cadence is also different. At this time, traditional methods often miss detection. [0003] In recent years, with the vigorous development of deep learning methods, such as recurrent neural networks are particularly good at processing sequence data. Therefore, there is an urgent need for a human target recognition method based on a recurrent neural network in an unattended sensor system with high recognition accuracy. Contents of the invention [0004] The technical problem to be solved by the present invention is: aiming at the technical problems existing in the prior art, the present invention provid...

AI Technical Summary

Problems solved by technology

[0002] The methods of human target recognition in traditional unattended sensor systems include: zero-crossing analysis and wavelet transform. The running cadence is also different. At this time, the traditional method often misses the detection.

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