Pedestrian lane detection in unstructured scenes for assistive navigation
详细信息 查看全文
- 作者：Son Lam Phung ; phung@uow.edu.au" class="auth_mail" title="E-mail the corresponding author ; Manh Cuong Le clm635@uowmail.edu.au" class="auth_mail" title="E-mail the corresponding author ; Abdesselam Bouzerdoum bouzer@uow.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Pedestrian lane detection ; Vanishing point estimation ; Assistive and autonomous navigation ; Benchmark dataset
- 刊名：Computer Vision and Image Understanding
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：149
- 期：Complete
- 页码：186-196
- 全文大小：3472 K
文摘
- •
We propose an algorithm for pedestrian lane detection in unstructured scenes.
- •
Vanishing point is found via color tensor and local orientations of edge pixels.
- •
Sample lane region is then located via color and geometrics features of lane.
- •
A lane model adaptive to the input image is constructed for lane segmentation.
- •
We create a dataset for vanishing point estimation and pedestrian lane detection.