吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊2): 78-81.

• paper • Previous Articles     Next Articles

Vision detection algorithm for vehicle occupant classification

GAO Zhen-hai, DUAN Li-fei, ZHAO Yang   

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  • Received:2011-03-17 Online:2011-09-30 Published:2011-09-30

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Abstract:

A vision detection system based on the low-cost CMOS camera is established according to differences of outlines of occupants.Principal character of occupant outline in the original image is described using Legendre matrix for the original image contains much more information than the detection algorithm actually needs.Support vector machine is introduced as the classifier after being trained and tuned using sample data considering the characteristics of the original data.The testing results indicate that the vision detection algorithm in this paper can effectively classify different kinds of occupants,providing for the intelligent restraint system with robust and accurate occupant classification information.

Key words: vehicle engineering, occupant classification, vision detection, support vector machine, intelligent restraint system

CLC Number: 

  • U463.6


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