A method for dynamic tracking, measurement and positioning of target objects

Abstract

A dynamic tracking and measurement positioning method for a target object, which uses two cameras to collect images of a monitoring area, dynamically updates the background of the monitoring area and extracts the target object, and uses the principle of binocular recognition and positioning to generate a three-dimensional point cloud of the viewing angle area; combined with the target object Extraction and binocular recognition positioning principle, dynamic tracking and positioning of target objects. The present invention combines visual ranging and target tracking in the field of video surveillance, determines the pixel coordinates of the image where the target is located through dynamic tracking of the target, combines the three-dimensional point cloud generated by visual ranging, locks the target object, and determines its three-dimensional coordinates. When the target object enters the warning area, the system can issue an alarm to achieve the purpose of real-time early warning; the captured position information of the target object provides a scientific basis for the actual manipulation of the background staff.

Description

technical field [0001] The invention relates to the technical field of video security and human-computer interaction, in particular to a method for dynamic tracking, measurement and positioning of a target object in the field of video surveillance. Background technique [0002] At present, the application of video surveillance is becoming more and more common, which has brought immeasurable effects to people's work in the field of security. However, the existing surveillance technology is low in intelligence and still relies on a large number of human resources to identify video content to deal with dangers. and emergencies. Most traditional video surveillance systems can only collect video information in the monitoring area. This monitoring method relies on manual continuous work to detect sudden and dangerous situations in the monitoring area, and lacks intelligent early warning of dangerous information in the monitoring area. The actual operation requires investment A la...

AI Technical Summary

Problems solved by technology

[0002] At present, the application of video surveillance is becoming more and more common, which has brought immeasurable effects to people's work in the field of security. However, the existing surveillance technology is low in intelligence and still relies on a large number of human resources to identify video content to deal with dangers. and emergencies

Most traditional video surveillance systems can only collect video information in the monitoring area. This monitoring method relies on manual continuous work to detect sudden and dangerous situations in the monitoring area, and lacks intelligent early warning of dangerous information in the monitoring area. The actual operation requires investment A large amount of manpower is used for real-time or post-event analysis, and the images returned by this video surveillance method cannot provide accurate location information of the target object. Operators can only guess the approximate location of the target object based on experience, making the tracking and positioning of the target object inaccurate and lacking intelligence

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