Drivers’ Seat Belts Detection at Crossroads Based on OpenCV

Yun Wei Qiu; Jian Pan; Ning Zhou; Yu Feng Wang

doi:10.4028/www.scientific.net/AMM.556-562.2996

Paper Titles

Construction of Tire Abnormal State Monitoring System Based on GMM
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Research on SVM-Based Intelligent Traffic Target Recognition Algorithm
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Study on Vehicular PEMFC Humidity Measurement Based on Fuzzy Sets
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The Design of Reliability Guarantee Technology Based on Wireless Real-Time Monitoring System
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Drivers’ Seat Belts Detection at Crossroads Based on OpenCV
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The Determination of Deformation Monitoring Indices Using Lifting Wavelet and Multi-Component Cloud Model
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Implementation of Automatic Test System Based on Virtual Instrument Technology and USB Structure
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An Effective Pattern Matching Algorithm for Intrusion Detection
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Application of Ant Colony Algorithms and Neural Networks in Fault Diagnosis
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Drivers’ Seat Belts Detection at Crossroads Based...

Drivers’ Seat Belts Detection at Crossroads Based on OpenCV

Abstract:

Considering the limitations of current approaches of traffic detection after the new traffic laws are introduced, an intelligent detection system of driver’s seat belts is proposed based on OpenCV in this paper. It is combined with the appliance of linear fitting method, straight line detection method and gray integral projection method. Thus, whether the drivers wear their seat belts or not can be analyzed and judged by the system from acquired images, which can ensure the road traffic security and the safety of drivers and help to increase the efficiency of the police. We can accurately distinguish the drivers’ violation and realize the intelligent transportation.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2996-3000

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2996

Citation:

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Online since:

May 2014

Authors:

Yun Wei Qiu*, Jian Pan, Ning Zhou, Yu Feng Wang

Keywords:

Gray Integral Projection, Linear Fitting, OpenCV, Seat Belt, Straight Line Detection

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* - Corresponding Author

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