Suspicious target detection tracking and recognition method based on dual-camera cooperation

Abstract

The invention discloses a suspicious target detection tracking and recognition method based on dual-camera cooperation, and belongs to the technical field of video image processing. The method comprises the steps that a panoramic surveillance camera is utilized for collecting a panoramic image, the improved Gaussian mixture modeling method is adopted for carrying out foreground detection, basic parameters of moving targets are extracted, a Kalman filter is utilized for estimating a movement locus of a specific target, the specific target is recognized according to velocity analysis, the dual-camera cooperation strategy is adopted, a feature tracking camera is controlled to carry out feature tracking on the moving targets, a suspicious target is locked, the face of the suspicious target is detected, face recognition is carried out, face data are compared with a database, and an alarm is given if abnormities exist. According to the suspicious target detection tracking and recognition method, the dual-camera cooperation tracking surveillance strategy is adopted, defects of a single surveillance camera on a specific scene are overcome, and the added face recognition function can assist workers in identifying the specific target to a greater degree; in addition, the tracking algorithm adopted in the method is good in real-time performance, target recognition and judgment standards are simple and reliable, and the operation process is fast and accurate.

Description

technical field [0001] The invention belongs to the technical field of video images, and relates to a method for detecting, tracking and identifying suspicious targets based on the cooperation of two cameras. Background technique [0002] In the more than ten years since the beginning of the 21st century, social and public security issues have become prominent, and a series of public security incidents represented by the "911" terrorist attack in the United States have occurred, causing huge panic and influence, and causing governments and people in various countries to of great concern. Building a safe, harmonious and prosperous social environment has become the top priority of governments all over the world. With the rapid development of digital acquisition and storage technology, image acquisition equipment is rapidly popularized, and video surveillance has become the main means and method of security surveillance, which is widely used by countries all over the world. I...

AI Technical Summary

Problems solved by technology

[0003] At present, first of all, the existing video surveillance system can only realize the collection and storage of surveillance data, but cannot realize the retrieval based on content understanding

Once a large space-time search is required, most of the existing systems can only search and play back according to time and place, which will consume a lot of manpower and material resources

A monitoring system often needs to be equipped with video walls and tracking personnel, but as the number of cameras continues to increase, the cost of monitoring becomes more and more unacceptable; secondly, the data utilization rate is low

Most of the data is only automatically deleted after the storage expires and is not fully utilized

Third, data query is difficult

[0004] Therefore, in places with a huge flow of people and huge public safety hazards, there is an urgent need for an intelligent monitoring system that can effectively improve monitoring efficiency. To a large extent assist monitors to identify and lock specific targets

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