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

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 journal › Article › peer-review

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 language	English
Pages (from-to)	203-209
Number of pages	7
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3215
Publication status	Published - 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Pose classification of car occupant using stereovision and support vector machines. / Jang, Min Soo; Kim, Yong Guk; Lee, Hyun Gu et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3215, 2004, p. 203-209.

Research output: Contribution to journal › Article › peer-review

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AU - Park, Gwi Tae

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AB - 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.

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Pose classification of car occupant using stereovision and support vector machines

Abstract

ASJC Scopus subject areas

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