Intrusion detection algorithm based on Fourier descriptor and histogram of oriented gradient

Abstract

The invention relates to an intrusion detection algorithm based on a Fourier descriptor and a histogram of oriented gradient, which comprises the steps of 1) acquiring a continuous video frame image; 2) carrying out inter-frame difference on the video frame image, performing a series of morphological operations, and acquiring an actual motion region; 3) judging whether the motion region is a human body target or not, intercepting the video frame image and a binary image corresponding to the actual motion region acquired in the step 2), extracting HOG (histogram of oriented gradient) features of the video frame image in a sliding window mode, carrying out judgment by adopting an HOG classifier, extracting FD (Fourier descriptor) features of a specified dimension in the binary image, carrying out judgment by adopting an FD classifier, and carrying out an AND operation on results acquired by the two classifiers so as to acquire a final judgment result; and 4) according to the judgment result of the step 3), carrying out follow-up behavior logic judgment if the motion region is judged to be a human body target, and giving out an alarm. The intrusion detection algorithm provided by the invention is high in robustness for illumination, the image quality and environmental interference, and the detection precision is high.

Description

technical field [0001] The invention relates to computer vision, image processing, feature selection, pattern recognition and other technical fields, especially an algorithm for processing, analyzing and understanding monitoring video signals, controlling the monitoring system, and realizing real-time detection of area intrusion. It can be used in public places such as schools, banks, prisons, factories, etc., and it is also suitable for the perimeter areas of private houses. Background technique [0002] With the rapid development of the computer industry, the continuous improvement of image processing and pattern recognition technology, the rapid development of computer vision, and the increasing number of emergencies brought about by the increasingly dense population, video surveillance systems have been widely used in people's production and in life. The development of video surveillance technology has gone through three stages: human on-site monitoring, human video mon...

AI Technical Summary

Problems solved by technology

Furthermore, the current monitoring system is mainly based on passive monitoring technology, which must be assisted by manual monitoring to achieve effective and real-time discovery of illegal intrusions, otherwise it can only be used as a basis for investigation after the event, but this has been unable to adapt to the ever-expanding video Monitoring scale

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