Trajectory tracking system and method based on face recognition technology

Abstract

The invention relates to a trajectory tracking system based on face recognition, which comprises a control center and a plurality of photographing units, and is characterized in that the control center is internally provided with a face recognition unit, an information adding unit, a trajectory querying unit and a trajectory editing unit, wherein the face recognition unit is used for acquiring first face recognition information in a video scene; the information adding unit is used for adding trajectory information to the first face recognition information and storing the first face recognition information into a face recognition information base; the trajectory querying unit is used for acquiring second face recognition information of a query person, comparing the second face recognition information with the first face recognition information, and acquiring a face similarity comparison value; and the trajectory editing unit calls all first face recognition information with the face similarity comparison value being greater than a set threshold value, and performs sorting according to the trajectory information. According to the invention, the face recognition information of related figures in multiple video scenes is extracted through a face recognition technology, the extracted face recognition information is compared with acquired face recognition information, the similarity is added, all trajectory information with high similarity with a query person is extracted with querying is performed again, and a moving trajectory of the query person is displayed.

Description

technical field [0001] The invention relates to the field of intelligent trajectory tracking, in particular to a trajectory tracking system and method based on face recognition technology. Background technique [0002] With the development of science and technology, computer vision has become one of the most popular topics in cutting-edge science, and it has also entered people's lives more and more. Intelligent video surveillance is an important part of computer vision. Its core is to extract the shape, position, color and other information of moving objects in the scene through real-time processing of the situation in the implementation scene without human intervention, and On this basis, it analyzes, judges and predicts various behaviors of moving objects, so as to automatically realize the behavior recording of characters in the scene. [0003] Face recognition technology, specifically refers to computer technology that uses analysis and comparison. Face recognition is ...

AI Technical Summary

Problems solved by technology

[0004] Existing computer vision is mostly used in the monitoring of public areas such as scenic spots, buildings, and residential areas. In the event of crimes, accidents, and foreign populations, etc., it is necessary for staff to find the movement track of relevant personnel from the videos captured by multiple camera equipment. Watching each video from the beginning to the end is very time-consuming, easy to miss, and difficult to manage. Therefore, a technology that combines face recognition and computer vision for trajectory tracking is needed.

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