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

    研究成果: 書貢獻/報告類型會議貢獻

    20 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
    國家中国
    城市Macao
    期間11/6/811/6/10

    ASJC Scopus subject areas

    • Control and Systems Engineering

    指紋 深入研究「Nighttime pedestrian detection using thermal imaging based on HOG feature」主題。共同形成了獨特的指紋。

    引用此