Moving object rapid detection method based on video sequence

Abstract

In order to prevent double-shadow and cavity phenomena from occurring in a target and rapidly obtain a complete outline of a moving target in a video sequence, the invention provides a moving object rapid detection method based on the video sequence. The method comprises the steps of denoising the video image sequence through a gaussian filter and solving an inter-frame differential image of any three frames of filtered adjacent video images through differential operation; carrying out iteration update on an initial background image through utilization of an inter-frame differential binary image and extracting a background image corresponding to a current frame; reestablishing a reference image corresponding to the current frame of image according to an inter-frame differential result of the three frames of adjacent video frames, thereby obtaining an inter-frame differential target detection image, and obtaining a moving target outline difference value image of the current frame through a background differential method; and combining target images extracted by a three-inter-frame differential method and a background differential method through an OR operation, and outputting a final moving target image. According to the method, noise interference can be effectively removed and the complete moving target can be detected rapidly and accurately.

Description

technical field [0001] The invention belongs to the technical field of computer vision images, and relates to a video moving target detection method, in particular to a video sequence-based fast moving target detection method. Background technique [0002] With the continuous development of computer vision and intelligent image processing technology, moving object detection technology has become an important research topic in the field of video stream image processing. Moving object detection is to accurately and quickly separate the moving object from the background image in the video image sequence, so as to obtain the moving object. It is a key technology in the field of computer vision research and intelligent video surveillance research. It belongs to the bottom layer of intelligent video surveillance and target tracking systems. It is the basis for subsequent processing such as target tracking and recognition. Object tracking is closely related to the effect of behavi...

AI Technical Summary

Problems solved by technology

This method has high detection accuracy, but it cannot obtain the accurate outline of the moving target, and the calculation of the optical flow field is very complicated, with a large amount of calculation, and it is difficult to meet the real-time requirements of moving target detection.

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