Detection Method of Infrared Weak and Small Moving Targets Based on Spatiotemporal Consistency of Trajectory Points

Abstract

The invention discloses the detection method of the infrared weak and small moving target based on the spatio-temporal consistency of trajectory points. First, from continuous video frame images, dense trajectories of different lengths are extracted to generate a dynamically changing trajectory list; secondly, the trajectory point space is applied The aggregation model detects candidate targets in a single-frame image and uses motion characteristics to eliminate false targets; for the aggregated representation of trajectory points, a contour number coding mechanism is proposed; finally, for continuous video frames, a contour number coding mechanism is proposed. Backward target detection algorithm based on contour code word consistency; the present invention simultaneously considers the spatial aggregation and temporal consistency of target trajectory points, so as to maximize the detection rate and minimize the false alarm rate.

Description

technical field [0001] The invention belongs to the technical field of infrared image processing methods, and in particular relates to a detection method for infrared weak and small moving targets based on the spatiotemporal consistency of trajectory points. Background technique [0002] Infrared detectors have the advantages of excellent concealment ability, strong environmental adaptability and anti-interference, smaller size, lighter weight and lower power consumption. Infrared detection technology has been widely used in people's lives in recent decades. , medical, military, engineering and other fields have more and more extensive applications. However, infrared video is generally captured by the detector at a long distance. The imaging area of ​​the target on the imaging system is small, and the number of pixels in the current video frame image is limited; the brightness is low, and there is no clear shape and texture information; poor contrast, infrared Weak and smal...

AI Technical Summary

Problems solved by technology

However, infrared video is generally obtained by long-distance shooting of the detector. The imaging area of ​​the target on the imaging system is small, and the number of pixels occupied in the current video frame image is limited; the brightness is low, and there is no clear shape and texture information; the contrast is poor, and the infrared Weak and small targets are often submerged in background noise; the direction and size of motion are difficult to predict, so how to efficiently detect infrared weak and small targets in video under complex background environments has important military and theoretical significance

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