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: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Verlag
Pages196-202
Number of pages7
ISBN (Print)9783540232056
DOIs
Publication statusPublished - 2004
Event8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004 - Wellington, New Zealand
Duration: 2004 Sep 202004 Sep 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3215
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004
CountryNew Zealand
CityWellington
Period04/9/2004/9/25

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Jang, M. S., Kim, Y. G., Lee, H. G., Lee, B. J., Lee, S. J., & Park, G. T. (2004). Pose classification of car occupant using stereovision and support vector machines. In M. G. Negoita, R. J. Howlett, & L. C. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 196-202). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3215). Springer Verlag. https://doi.org/10.1007/978-3-540-30134-9_28