Pose classification of car occupant using stereovision and support vector machines

Min Soo Jang, Yong Guk Kim, Hyun Gu Lee, Byung Joo Lee, Soek Joo Lee, Gwi Tae Park

Research output: Contribution to journalArticle

Abstract

Airbag in the cars plays an important role for the safety of occupants. However, Highway traffic safety report shows that many occupants are actually killed by wrong deployment of the airbags. For reducing risk caused by airbag, designing a smart airbag is an important issue. The present study describes an occupants' pose classification system, by which triggering and intensity of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and a SVM classifier. Performance of the system shows its feasibility as a vision-based airbag controller.

Original languageEnglish
Pages (from-to)203-209
Number of pages7
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3215
Publication statusPublished - 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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