Abnormal Driving Behavior Detection Using Sparse Representation

Chien Yu Chiou, Pau-Choo Chung, Chun Rong Huang, Ming Fang Chang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

To reduce the chance of traffic crashes, many driver monitoring systems (DMSs) have been developed. A DMS warns the driver under abnormal driving conditions. However, traditional approaches require enumerating abnormal driving conditions. In this paper, we propose a novel DMS, which models the driver's normal driving statuses based on sparse reconstruction. The proposed DMS compares the driver's statuses with his/her personal normal driving status model and identifies abnormal driving statuses that greatly change the driver's appearances. The experimental results show good performance of the proposed DMS to detect variant abnormal driver conditions.

原文English
主出版物標題Proceedings - 2016 International Computer Symposium, ICS 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面390-395
頁數6
ISBN(電子)9781509034383
DOIs
出版狀態Published - 2017 二月 16
事件2016 International Computer Symposium, ICS 2016 - Chiayi, Taiwan
持續時間: 2016 十二月 152016 十二月 17

出版系列

名字Proceedings - 2016 International Computer Symposium, ICS 2016

Other

Other2016 International Computer Symposium, ICS 2016
國家Taiwan
城市Chiayi
期間16-12-1516-12-17

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

引用此

Chiou, C. Y., Chung, P-C., Huang, C. R., & Chang, M. F. (2017). Abnormal Driving Behavior Detection Using Sparse Representation. 於 Proceedings - 2016 International Computer Symposium, ICS 2016 (頁 390-395). [7858507] (Proceedings - 2016 International Computer Symposium, ICS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICS.2016.0085