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Detection of Smoking in Elevator Using Average Intensity Measure

초록

영어

Smoking in elevators would give children and weak women a deadly blow. Latest no-smoking laws and increasing the price of cigarettes decreased smoking rate drastically. However, since this phenomenon is a transient one, the smoking rate seems to be increasing again to the previous level. In our research, we above all chose people who smoked in elevators. The method of sampling key frame is Average Intensity Measure. This method uses average intensity of whole image for each RGB color channel in order to detect scene change. If white color (255) occurs by a certain pixel after reducing the subject domain of sampled key frame to face domain, it is considered as smoking. These extracted scenes could be provided as a evidence of forensics in police stations or courts.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Average Intensity Measure
 4. Experiments
 5. Conclusion
 References

저자정보

  • Seong-Yoon Shin Professor, Department of Computer Information Engineering, Kunsan National University, Kunsan, Korea
  • Sang-Won Lee Professor, Division of Information and Electronic Commerce, Wonkwang University, Iksan, Korea

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