Monitoring video moving target tracking method based on self-adaptive background segmentation and system thereof

Abstract

The invention discloses a monitoring video moving target tracking method based on self-adaptive background segmentation and a system thereof, and is used for extracting background information in a monitoring video and realizing tracking and line crossing detection of moving targets in the video. The method mainly comprises the steps that first N frames of video images are taken to act as background models to perform background modeling according to a time sequence, and the background model of each frame of image after N frames is randomly updated so that the background models are enabled to self-adaptively change according to the change of scenes; and the foregrounds and the backgrounds are separated out according to the background models and then marking of connected regions is performed on the separated foreground targets, and the connected regions are screened so as to be adaptive to the multi-scale change of the video. The connected regions can be tracked according to the marks. The moving targets in the monitoring video can be tracked and line crossing detection can also be performed, and the number of the targets crossing the line can be recorded so that practicality is high.

Description

technical field [0001] The invention belongs to the technical field of video image analysis, and relates to a method and a system for separating, marking and tracking a moving target in a surveillance video. Background technique [0002] With the development of the economy and the progress of society, the demand for security precautions and on-site record early warning and alarm systems in the fields of financial facilities, power facilities, transportation, security inspections, and military facilities is increasing, and there are also extremely high requirements. It has been widely used in all aspects of production and life. Although surveillance cameras have been widely used in public places such as banks, shopping malls, stations, and traffic intersections, the actual monitoring tasks are often done manually, and the existing video surveillance systems generally only record videos and provide information that has not been passed. The interpreted video images can only be...

AI Technical Summary

Problems solved by technology

However, most methods still need to rely on the combination of manual operation and computer-aided extraction to track the moving target in the surveillance video, which cannot give full play to the real-time and initiative of surveillance.

However, the technology that can realize automatic moving target tracking is often unable to adapt to changes in the external environment (such as lighting changes, swaying leaves, etc.) or changes in the video scale (such as the adjustment of the distance and near of the surveillance camera), making the extraction effect poor.

Images