Campus character recognition tracking method based on image processing technology

Abstract

The invention discloses a campus character recognition and tracking method based on an image processing technology. The method comprises the following steps: step 1, generating a feature set; 2, generating a hash sequence; step 3, calculating similarity; step 4, outputting a portrait recognition result; 5, accurately matching the feature points; the purposes of multi-feature portrait recognition and portrait positioning are achieved through multi-feature fusion and histogram statistics, portrait recognition can be carried out according to multiple feature points such as facial features, dressing features and contour features of students, and objective influences caused by camera installation and pixels are reduced; the situation that portrait recognition cannot be carried out due to subjective conditions such as active shielding of students is avoided; on the basis of not changing the layout and monitoring equipment of the existing campus monitoring system, a protection line for the personal safety of students with the highest economical efficiency is established through algorithms and codes, and the problem of portrait recognition and the problem of character path tracking in a complex campus environment on the basis of the prior art are solved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for identifying and tracking campus characters based on image processing technology. Background technique [0002] In campus management, surveillance cameras and intelligent surveillance management systems are indispensable. On-site images are collected through the surveillance camera group network, and short-distance transmission is carried out to the surveillance center through video lines, etc. for signal extraction, line conversion, image storage, etc. , to improve the efficiency and management level of school monitoring; however, considering the economy and functionality of the monitoring system, it is mainly to install more color-to-black-and-white cameras and infrared lights in campus monitoring, except for the high-definition cameras that are required to be installed in the examination room , outdoor cameras are basically mid-range cameras with image pix...

AI Technical Summary

Problems solved by technology

[0003] The existing face recognition technology is a multi-light source face recognition technology based on infrared images, which separates the face from the dynamic scene or complex background, extracts the feature data of the face image and searches and matches it with the feature template stored in the database, and then Complete face matching and recognition; generally, a specific face recognition all-in-one machine will be installed at the entrance of the campus, or a camera will be installed near the entrance for portrait recognition. The angle, height and distance are appropriate, and the portrait can be extracted more clearly for recognition , but if the student deliberately covers the face or the position is not suitable, the portrait recognition cannot be performed;

[0004] The surveillance video of the campus monitoring center can be saved and played back, but there is no function of portrait recognition and person tracking, and due to reasons such as video pixels, shooting range angles, and light, it is difficult to achieve accurate person recognition and tracking

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