Low SNR(Signal to Noise Ratio) motion small target tracking and identification method

Abstract

The invention discloses a low SNR(Signal to Noise Ratio) motion small target tracking and identification method. The method comprising the following steps: providing a method of extracting a target from a single frame image of a video sequence, and influences of backgrounds and noises can be reduced or eliminated; providing weak target motion information extracting and state predicting modeling; establishing an incidence matrix of the image motion small target between two frames; based on information fusion of overlapped multi-frame images, providing a large-scale image and video image motion small target tracking algorithm and an identification method by using fuzzy push-down automation chain slot stack recursion calculation. The low SNR(Signal to Noise Ratio) motion small target tracking and identification method is advantageous in that the target identification and image processing personnel can be aware of the target motion law, the active level, and the influence on other targets conveniently, and then can give the corresponding decisions, and therefore the searching, the inhibiting, and the eliminating of the influences of the bad factors on other important targets can be very necessary, and in addition, the important experiences and the important references can be provided for the target identification and tracking in the military field, the civil field, the public security system, and the road traffic field based on the video system.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and classification, and in particular relates to a tracking and recognition method for a small moving target with a low signal-to-noise ratio. Background technique [0002] With the development of science and technology and the improvement of human security awareness, video surveillance systems in the network environment have been more and more widely used in various fields, such as military, transportation, banks, factories, communities, etc. The identification of moving targets based on video surveillance is a very useful work, which can be applied in many fields such as aerospace, military, missile trajectory identification and tracking, and traffic violation detection. However, in some occasions, such as the environmental monitoring of surrounding areas by countries around the world, it is necessary to be able to intercept and lock the tracking target as soon as possible. The accu...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a method for tracking and identifying small moving targets with low signal-to-noise ratio, which aims to solve the problems of slow real-time tracking speed and poor tracking or identification effects in the prior art

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