Method for detecting and tracking small and weak target of infrared sequence image under complex sky background

Abstract

The invention relates to a method for detecting and tracking a small and weak target of an infrared sequence image under complex sky background, which comprises the following steps of: (1) adopting a self-adaptive background eliminating algorithm which combines with the small and weak target characteristic of an image and Top-hat conversion for conducting self-adaptive background elimination and inhibiting the influence of complex background and part of noise on the small and weak target detection; (2) using an iterative threshold algorithm which is suitable for a dim-background image for dividing the possible target area in the dim-background image after background elimination; (3) constructing a dilation accumulation algorithm according to the motion law of the target in a plurality of continuous frames, and distinguishing possible false-alarm target areas; (4) using CB algorithm and logic and operation based on contour structure elements for inhibiting the false-alarm targets; (5) taking the areas in which the false-alarm targets are inhibited as possible target area which is then compared with the track prediction result in the step (7) so as to realize the updating of track; (6) conducting track judgment; and (7) conducting track prediction.

Description

technical field [0001] The invention relates to a detection and tracking method for weak and small targets in infrared sequence images under complex sky background, belongs to the field of digital image processing, and mainly relates to mathematical morphology, infrared images and target detection and tracking technology. It is widely used in various target recognition or navigation systems based on infrared images. Background technique [0002] The research on weak target detection and tracking technology under complex sky background has important applications in civil, aerospace and military (see literature: Zhang Tianxu et al. Detection of moving weak targets based on three-dimensional determined width search direction filtering. Pattern Recognition Letters, 2007, 28( 2): 246-253. (Tianxu Zhang, Meng Li, Zhengrong Zuo, Weidong Yang, Xiechang Sun. Movingdim point target detection with three-dimensional wide-to-exact search directional filtering. Pattern Recognition Letters...

AI Technical Summary

Problems solved by technology

However, in the case of many false alarm targets, this type of method takes a long time to calculate, and it is difficult to meet the application of real-time systems, so this type of method needs further research in practical application.

[0018] In addition, other methods have been proposed, such as methods based on curve evolution, methods based on neural networks, methods based on random fields, etc., but these methods are mostly specific algorithms for specific goals, and the universality is poor.

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