By Topic

Vision detection of vehicle occupant classification with Legendre moments and Support Vector Machine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhenhai Gao ; State Key Laboratory of Automobile Dynamics Simulation, Jilin University, Changchun, China ; Lifei Duan

Intelligent airbag system can control its deploy time and force according to different types of occupant in different sitting position. The accurate detection of vehicle occupant is the precondition and plays an important role in such system. This paper presents a vision detection method using low-cost CMOS camera and pattern recognition algorithm for the classification of different occupant classes. First, in view of the relative fixed passenger room, pre-processing algorithm and occupant edge detection method for the measurement space of occupant image are established; then, principal feature of occupant image edge in the measurement space is described using Legendre moments; at last, classifier of vehicle occupant is obtained using Support Vector Machine so that the classification of vehicle occupant is made possible.

Published in:

Image and Signal Processing (CISP), 2010 3rd International Congress on  (Volume:4 )

Date of Conference:

16-18 Oct. 2010