Study on Automatic Detection Method of Automobile Safety Belt Based on the Improvement of Adaboost Algorithm

Abstract

In recent years, automatic seat belt detection system based on image processing and pattern recognition technology is one of the important research topics in intelligent traffic management, which uses computer image processing, pattern recognition and artificial intelligence technology to whether the driver were wearing seat belts automatic detection. This paper presents an improved recognition algorithms adaboost training early positioning belt position, and through a variety of constraints lsd line detection and automatic identification rule whether to wear a seat belt. Strong adaptability algorithm has been embedded into multiple bayonet system.