Two-stage image abnormal movement detection method used for automobile anti-theft

Abstract

The invention relates to a method for detecting the abnormal changes of secondary images used for car security, and belongs to the technical field of computer application. The method comprises the following steps: firstly, the image collection on a real-time basis is performed on videos inside and outside the car; then, abnormal change detection is respectively performed on the images collected inside and outside the car on the real-time basis by adopting self-adapting difference detection algorithm for video image, so as to obtain two detection results of normal image and abnormal changing images; the quantity of images with abnormal changes serves as the frequency of continuously abnormal changes; and when both the frequencies of continuously abnormal changes inside and outside the car reach a pre-established threshold value respectively, a judgment that the car is stolen is made. In the invention, only the video image collecting device is used, and no additional sensor is used except a camera, therefore, the invention has the advantages of simplicity, practicability, safety and reliability.

Description

technical field [0001] The invention belongs to the field of computer application technology, in particular to a car theft detection method in the field of car anti-theft security monitoring. Background technique [0002] The car anti-theft system develops along with the development of the car. The earliest mechanical anti-theft devices were low in cost, easy to make and install, and mainly made the transmission or steering wheel unusable through mechanical locks, but it was difficult to resist theft with heavy tools such as hacksaws, crowbars, and pliers. The most widely used electronic anti-theft system is secret installation, wireless remote control, and easy to use. It mainly relies on vibration detection, central control door lock, locking ignition or starting system and other methods to prevent theft of vehicles. This anti-theft system is easy to crack and is susceptible to interference from electric waves, lightning, and industrial welding to generate false alarms. ...

AI Technical Summary

Problems solved by technology

These systems still involve adding additional sensors, modifying the car's electrical circuits, and adding new camera devices

The system represented by Chinese Patent Application No. CN200410067778.0 and CN03156944.7 collects the driver's face video image, and detects whether the driver is legal through face recognition technology. If the driver is not legal, the system will control the car. The system has the disadvantages of complex recognition algorithm, low accuracy, and participation in car control can easily lead to danger.

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