Method of detecting moving target under static background

Abstract

The invention discloses a method of detecting a moving target under a static background, comprising the following steps: S1, using an optimized Canny edge detection algorithm to quickly and simply build a stable background edge model and a background update method, using a background edge difference method to perform differential operation on a current frame edge detection result and the built background edge to get a background edge detection difference result, and determining the edge of a moving target; S2, performing OR operation on the background edge detection difference result and a result of detection using a five-frame difference method to get a more complete contour of the moving target; and S3, performing assimilation filling on the holes inside the contour of the moving target by using a horizontal-vertical bidirectional template, and performing morphological processing and connectivity detection on the target to eliminate small isolated points and fill small gaps of the edge, in order to extract a complete and accurate moving target area.

Description

Moving Object Detection Method in Static Background technical field The invention specifically relates to a moving target detection method under a static background. Background technique In recent years, moving object detection in intelligent video surveillance is a research hotspot, and has broad application prospects in various fields. Commonly used moving target detection algorithms in static backgrounds are: inter-frame difference method, background difference method and optical flow method. The optical flow method is not conducive to real-time implementation due to its high computational complexity and requires special hardware support; the background difference method has a simple algorithm and is easy to implement, but usually has a slow calculation speed and is easily affected by light changes. difference; the inter-frame difference method is a commonly used method for target detection. Through the subtraction of adjacent frame images, the target is detected accor...

AI Technical Summary

Problems solved by technology

The optical flow method is not conducive to real-time implementation due to its high computational complexity and requires special hardware support; the background difference method has a simple algorithm and is easy to implement, but usually has a slow calculation speed and is easily affected by light changes. difference; the inter-frame difference method is a commonly used method for target detection. Through the subtraction of adjacent frame images, the target is detected according to the difference result. False edges are produced in the scene

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