Portrait and vehicle recognition alarming and tracing method

Abstract

The invention relates to an alarming and tracking method for the identification of the portraits and vehicles; the technical characteristics lie in: first, conducting a target detection, extracting the altered target area from a video image, and extracting an eigenvector of the target area through a method of central beam; then determining whether the target is an image of human body or vehicle through a well-trained support vector machine classifier according to the extracted eigenvector. If the abnormal conditions occur, alarm signals are given. Meanwhile, according to the track continuity of the target during the movement, a technique of particle filter is adopted to carry out a track processing only for regions where the targets have possibility to exist. The alarming and tracking method for the identification of the portraits and vehicles has the advantages that: when the target is seriously interfered or influenced by the noise, which causes lower matching reliability, a forecast can be applied to reasonably estimate the position of the target, in order to keep a normal tracking for the target. The alarming and tracking method for the identification of the portraits and vehicles features small computational amount and excellent real-time performance, and can be widely applied in the field of national defense and civil field.

Description

technical field [0001] The invention relates to a method for identifying, alarming and tracking portraits and vehicles, which belongs to the fields of computer vision, image understanding, pattern recognition and the like. It uses moving target detection method, target classification method and moving target tracking method, and has important application value in national defense and civilian fields. Background technique [0002] The demand for intelligent surveillance systems mainly comes from those occasions that are sensitive to security requirements, such as military camps, banks, shops, parking lots, etc. At present, surveillance cameras have been widely used in commercial applications, but they have not fully exerted their real-time active supervision function, because they usually record the output results of the cameras, and when abnormal situations (such as vehicles in the parking lot are stolen) , the security personnel only observe the facts of what happened thro...

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However, these methods have their own advantages and disadvantages, and can only be applied to different applications.

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