TY - GEN
T1 - Efficient Vanishing Point Estimation for Unstructured Road Scenes
AU - Nguyen, Linh
AU - Phung, Son Lam
AU - Bouzerdoum, Abdesselam
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/22
Y1 - 2016/12/22
N2 - Vanishing point estimation is an essential and demanding task in vision-based road detection. One of the main limitations of the existing approaches for vanishing point estimation is computation efficiency, which hampers their real-time applications. This paper presents an efficient method for finding the vanishing point in unstructured road scenes. Color tensors are applied on the input image to find texture orientations and color edges. We propose new strategies to select optimized sets of vanishing point candidates and voters and to define the voting function. The proposed method is evaluated on a benchmark dataset of 2000 images of unmarked pedestrian lanes. The experimental results show that it achieves accuracy comparable with other state-of-the-art methods but with significantly reduced computation time.
AB - Vanishing point estimation is an essential and demanding task in vision-based road detection. One of the main limitations of the existing approaches for vanishing point estimation is computation efficiency, which hampers their real-time applications. This paper presents an efficient method for finding the vanishing point in unstructured road scenes. Color tensors are applied on the input image to find texture orientations and color edges. We propose new strategies to select optimized sets of vanishing point candidates and voters and to define the voting function. The proposed method is evaluated on a benchmark dataset of 2000 images of unmarked pedestrian lanes. The experimental results show that it achieves accuracy comparable with other state-of-the-art methods but with significantly reduced computation time.
UR - http://www.scopus.com/inward/record.url?scp=85011105459&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2016.7797037
DO - 10.1109/DICTA.2016.7797037
M3 - Conference contribution
AN - SCOPUS:85011105459
T3 - 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
BT - 2016 International Conference on Digital Image Computing
A2 - Liew, Alan Wee-Chung
A2 - Zhou, Jun
A2 - Gao, Yongsheng
A2 - Wang, Zhiyong
A2 - Fookes, Clinton
A2 - Lovell, Brian
A2 - Blumenstein, Michael
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
Y2 - 30 November 2016 through 2 December 2016
ER -