TY - GEN
T1 - Head pose estimation using isophote features for driver assistance systems
AU - Zhang, Xuetao
AU - Zheng, Nanning
AU - Mu, Fan
AU - He, Yongjian
PY - 2009
Y1 - 2009
N2 - In this paper, we consider the problem of estimating the pose of a driver from video data. We propose to use isophote features to improve classification performance when illumination varies. In particular, we both use the direction and curvature features. The features are encoded into direction histogram and curvature histogram in the blocks of the image. Experimental results show that the proposed features could well describe the structure of driver face image, and have a good performance in real scene.
AB - In this paper, we consider the problem of estimating the pose of a driver from video data. We propose to use isophote features to improve classification performance when illumination varies. In particular, we both use the direction and curvature features. The features are encoded into direction histogram and curvature histogram in the blocks of the image. Experimental results show that the proposed features could well describe the structure of driver face image, and have a good performance in real scene.
UR - https://www.scopus.com/pages/publications/70449581007
U2 - 10.1109/IVS.2009.5164340
DO - 10.1109/IVS.2009.5164340
M3 - 会议稿件
AN - SCOPUS:70449581007
SN - 9781424435043
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 568
EP - 572
BT - 2009 IEEE Intelligent Vehicles Symposium
T2 - 2009 IEEE Intelligent Vehicles Symposium
Y2 - 3 June 2009 through 5 June 2009
ER -