TY - GEN
T1 - Nighttime pedestrian detection using thermal imaging based on HOG feature
AU - Chang, Shyang Lih
AU - Yang, Fu Tzu
AU - Wu, Wen Po
AU - Cho, Yu An
AU - Chen, Sei Wang
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Adaboost
KW - HOG
KW - ROI
KW - pedestrian detection
UR - http://www.scopus.com/inward/record.url?scp=84860404889&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860404889&partnerID=8YFLogxK
U2 - 10.1109/ICSSE.2011.5961992
DO - 10.1109/ICSSE.2011.5961992
M3 - Conference contribution
AN - SCOPUS:84860404889
SN - 9781612844718
T3 - Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
SP - 694
EP - 698
BT - Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
T2 - 2011 International Conference on System Science and Engineering, ICSSE 2011
Y2 - 8 June 2011 through 10 June 2011
ER -