Real-time constructor safety helmet detection method based on pedestrian detection

Abstract

The invention discloses a real-time constructor safety helmet detection method based on pedestrian detection. According to the method, firstly, large-scale marked samples are utilized to carry out multi-time iteration training for an Adaboost classifier extracted on the basis of ACF characteristics; secondly, the trained classifier is utilized to carry out pedestrian detection on a video sequence, and the precise position and the quantity of targets are determined; thirdly, locus analysis on a detection result is carried out, whether the detection result is wrong is determined according to the locus information, if a score of the detection result is not high, dump processing is carried out, the detection result with high score is tracked, a characteristic that a human head is at a top portion of the detection result is utilized, the portion of a safety helmet is locked, through color space conversion, and safety helmet detection is finally realized through utilizing a pixel ratio for determination according to the separation color channel statistics pixel information. The method is advantaged in that good robustness is realized for multiple occasions, and a pixel point statistics detection method based on HSV space has quite good effects for special color safety helmets.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a real-time detection method for construction personnel helmets based on pedestrian detection. Background technique [0002] Moving target pendant detection technology under dynamic background is an important topic in computer vision, and it is also the key underlying technology of computer vision system. Posture and other information for rapid implementation of the detection. With the remarkable improvement of computer processing power, this technology has more and more extensive applications in many fields. [0003] As a kind of personal head protection, the safety helmet can effectively prevent and reduce the injury to the head of the operator when he encounters falling objects or falls from himself during production operations. It is also a necessary safety measure for road construction workers to wear safety helmets, which can protect the personal safety of ...

AI Technical Summary

Problems solved by technology

[0004] In recent years, the detection of human body-specific pendants based on video surveillance has always been a very difficult topic. As a specific pendant that construction workers need to wear in special scenarios, hard hats need to be detected in real time and robustly. Affected by factors such as light, shadow, and background in various environments, and limited by the performance of the detector, the detection result cannot guarantee a high accuracy rate

Therefore, most methods cannot guarantee that the helmet detection system has real-time and robust characteristics.

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