Nighttime pedestrian detection using thermal imaging based on HOG feature

Shyang Lih Chang*, Fu Tzu Yang, Wen Po Wu, Yu An Cho, Sei-Wang Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

21 引文 斯高帕斯(Scopus)

摘要

This research focuses on pedestrian detection using infrared thermal imager. The purpose is to locate the pedestrians from studying thermal imagery. Based on HOG (Histograms of Oriented Gradients), Adaboost algorithm is used as a way to perform the detection. The system is divided into three sections, to extract the features of the pedestrians, to train the Adaboost classifier, and to detect the pedestrian. To get the features of the pedestrians, data is gathered from inserted images. The features allow the detection to work well. The feature extraction includes image segmentation, ROI selection, and feature extraction. We have successfully located the positions of the pedestrians with the methods mentioned above. This can be applied to the development of the intelligent driver assistance system, giving more road traffic situations to the drivers throughout the night.

原文英語
主出版物標題Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
頁面694-698
頁數5
DOIs
出版狀態已發佈 - 2011 八月 24
事件2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, 中国
持續時間: 2011 六月 82011 六月 10

出版系列

名字Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

其他

其他2011 International Conference on System Science and Engineering, ICSSE 2011
國家/地區中国
城市Macao
期間2011/06/082011/06/10

ASJC Scopus subject areas

  • 控制與系統工程

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