Infrared target detection method based on space-time cooperation framework

Abstract

The invention relates to an infrared target detection method based on a space-time cooperation framework. The method comprises the following steps: 1. acquiring a background frame Bg and a current frame Ft of a video, combining the background frame Bg and the current frame Ft to carry out background clutter suppression and acquiring a background suppression graph Gt after the background clutter suppression is performed; 2. for the background suppression graph Gt obtained in the step 1, firstly establishing a space-time background model, and then carrying out target positioning aiming at space-time background model information after the model is established; 3. according to an imaging mechanism of the infrared target, analyzing a space difference of the infrared target and the surrounding background, using a fuzzy adaptive resonance nerve network to carry out local classification aiming at the target which is positioned in the step 2 and then extracting the infrared target. The method has the following advantages that: the method does not depend on any target shapes and motion information priori knowledge; the method is suitable for a complex outdoor scene; a signal to noise ratio can be increased; a target detection rate can be increased and a calculated amount can be reduced; false targets can be effectively removed and a false alarm rate can be reduced; the method is beneficial to follow-up target identification.

Description

technical field [0001] The invention relates to an infrared target detection method, in particular to an infrared target detection method based on a space-time collaborative framework. Background technique [0002] Intelligent video surveillance is currently a research hotspot in the field of computer vision, and target detection is the most basic component of intelligent video surveillance, and its detection performance directly affects the subsequent target tracking and recognition. In recent years, with the continuous development of infrared detection technology and the reduction of the cost of infrared products, intelligent video surveillance systems using or combining infrared imaging mechanisms have gradually become the development trend in the field of intelligent video surveillance. [0003] The monitoring system based on infrared detection technology can solve some inherent problems in traditional video monitoring systems: shadow interference, strong light dependenc...

AI Technical Summary

Problems solved by technology

[0008] Another purpose of the present invention is to solve the technical problem that there is a large amount of natural interference (background clutter) and artificial interference in the image of the prior art, which may easily cause false alarms; it provides a multi-level space-time value filter It can effectively remove the interference of foreground targets, extract reasonable actual background frame information, and is suitable for complex outdoor scenes, and uses fuzzy adaptive resonance neural network for local target detection, which can effectively remove false targets and reduce the false alarm rate. Infrared object detection method based on collaborative framework

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