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

DOI

10.2991/icmii-15.2015.185How to use a DOI?

Keywords

Belt recognition, LSD straight line inspection, adaboost classifier constraint rules

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Xu
AU  - Kai Song
PY  - 2015/10
DA  - 2015/10
TI  - Study on Automatic Detection Method of Automobile Safety Belt Based on the Improvement of Adaboost Algorithm
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 1045
EP  - 1049
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.185
DO  - 10.2991/icmii-15.2015.185
ID  - Xu2015/10
ER  -