Method for detecting infrared motion target in real time for background adaptive estimation

Abstract

The invention discloses a method for detecting an infrared motion target in real time for background adaptive estimation. The method comprises the following steps of: (1) initializing a background model BG (0); (2) inputting a kth-frame original infrared image Xorg (k), wherein k is equal to 1, 2 to K; (3) restraining a space domain non-uniformity noise and a time domain random noise of the kth-frame original infrared image Xorg (k), and outputting an image Xdeal (k) which is subjected to noise restraint; (4) registering the image Xdeal (k), and outputting a registered kth-frame infrared image Xreg (k); (5) updating the background model, namely updating a background model BG (k) of the kth-frame infrared image by using an adaptive forgetting factor method; (6) performing difference operation on the kth-frame infrared image Xorg (k) and the background model BG (k), and outputting a difference operation result Xout (k); and (7) calculating the optimum segmentation threshold value Thopt of a target and a background in the Xout (k) according to a maximum inter-class variance theory to finish detection of the motion target. The method has the advantages that: by image pro-processing, the problem of over-sensitivity in noise and scene change in the conventional background difference method is effectively solved, and the detection probability of the target is improved.

Description

technical field [0001] The invention relates to an infrared image target detection method, in particular to a moving target detection method suitable for hardware real-time implementation. Background technique [0002] Moving object detection technology detects moving objects by analyzing the image sequence obtained by the sensor, which has very important practical significance in traffic monitoring and automatic navigation. Typical moving target detection methods are divided into three categories: background subtraction method, difference image method and optical flow method. The background subtraction method makes a difference between the current image and a known background, and extracts the moving target through threshold segmentation. This method assumes that the background is known accurately and is not limited by the moving speed of the target, so the moving target can be extracted more completely. The background subtraction method is too sensitive to scene changes ...

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: In view of the deficiency that the background difference method is too sensitive to noise and scene changes, the purpose of the invention is to design a real-time detection method for infrared moving targets with good effect, simple calculation, and background adaptive estimation suitable for real-time hardware implementation

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