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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Pages694-698
Number of pages5
DOIs
Publication statusPublished - 2011 Aug 24
Event2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China
Duration: 2011 Jun 82011 Jun 10

Publication series

NameProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

Other

Other2011 International Conference on System Science and Engineering, ICSSE 2011
CountryChina
CityMacao
Period11/6/811/6/10

Keywords

  • Adaboost
  • HOG
  • ROI
  • pedestrian detection

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Nighttime pedestrian detection using thermal imaging based on HOG feature'. Together they form a unique fingerprint.

  • Cite this

    Chang, S. L., Yang, F. T., Wu, W. P., Cho, Y. A., & Chen, S-W. (2011). Nighttime pedestrian detection using thermal imaging based on HOG feature. In Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 (pp. 694-698). [5961992] (Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011). https://doi.org/10.1109/ICSSE.2011.5961992