Target detection algorithm in combination of statistical matrix model and adaptive threshold

Abstract

The invention discloses a target detection algorithm in combination of a statistical matrix model and an adaptive threshold. The target detection algorithm comprises the steps of initializing a background image through the front frames of a video; initially extracting foreground by the background subtraction method; continuously accumulating the occurrence times of pixel points with small pixel value variation amplitude in the foreground area by the frame difference method; storing the times of accumulation variation of the corresponding pixel points through a statistical matrix; updating the current foreground as the background point when the times exceed a certain value so as to obtain the accurate background image for the subsequent background subtraction method; then performing binarization segmentation through the adaptive threshold to obtain a target area; the binarization threshold of each pixel point is determined according to the difference value between all the current pixel values and the background pixel value in the point window. With the adoption of the algorithm, the background can be quickly updated, and the target can be accurately detected.

Description

technical field [0001] The invention relates to the field of intelligent video monitoring algorithms, in particular to a target detection algorithm combining a statistical matrix model and an adaptive threshold. Background technique [0002] The intelligent video surveillance system analyzes the behaviors and events that occur in the scene, judges whether there are suspicious targets or dangerous events, and calls the police in time, so as to prevent accidents and reduce property losses. In the intelligent video surveillance system, the position, size, direction, speed and other state information of the target in the whole movement process are generally obtained through target detection and tracking, and then target recognition, behavior analysis, event detection and alarm are carried out based on these state information. Therefore, the accurate detection of moving targets is the premise of realizing intelligent video surveillance. [0003] The main purpose of target detect...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a target detection algorithm that combines a statistical matrix model and an adaptive threshold to solve the problems of slow background update and inaccurate target detection results in background subtraction in the prior art

Images