NDLI: Head detection inside vehicles with a modified SVM for safer airbags

Content Provider	IEEE Xplore Digital Library
Author	Reyna, R. Giralt, A. Esteve, D.
Copyright Year	2001
Description	Author affiliation: Lab. d'Autom. et d'Anal. des Syst., CNRS, Toulouse, France (Reyna, R.)
Abstract	Support vector machines have shown great performances in face recognition applications in nonconstraint images. We propose to modify the threshold of the SVM decision function in order to add some spatial information for head recognition. We propose this method as a passenger occupancy detection system. The information about the presence of a person in the passenger seat and the position of his head is used to control the deployment of the passenger airbag. We use still monocular images taken from the cockpit to make the learning step of the SVM method. During recognition the threshold of the decision function will be modified by a "presence" probability distribution function. We will show in this paper the results of our simulations for a standard and for the modified SVM.
Starting Page	268
Ending Page	272
File Size	547122
Page Count	5
File Format	PDF
ISBN	0780371941
DOI	10.1109/ITSC.2001.948667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle detection Vehicle safety Support vector machines Magnetic heads Support vector machine classification Vehicles Face recognition Injuries Accelerometers Chemicals
Content Type	Text
Resource Type	Article

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