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Head detection inside vehicles with a modified SVM for safer airbags
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.
Head detection inside vehicles with a modified SVM for safer airbags
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.
Head detection inside vehicles with a modified SVM for safer airbags
Reyna, R. (author) / Giralt, A. (author) / Esteve, D. (author)
2001-01-01
547122 byte
Conference paper
Electronic Resource
English
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