TY  - JOUR
PY  - 2011//
TI  - Multiband image segmentation and object recognition for understanding road scenes
JO  - IEEE transactions on intelligent transportation systems
A1  - Kang, Y.
A1  - Yamaguchi, K.
A1  - Naito, T.
A1  - Ninomiya, Y.
SP  - 1423
EP  - 1433
VL  - 12
IS  - 4
N2  - This paper presents a novel method for semantic segmentation and object recognition in a road scene using a hierarchical bag-of-textons method. Current driving-assistance systems rely on multiple vehicle-mounted cameras to perceive the road environment. The proposed method relies on integrated color and near-infrared images and uses the hierarchical bag-of-textons method to recognize the spatial configuration of objects and extract contextual information from the background. The histogram of the hierarchical bag-of-textons is concatenated to textons extracted from a multiscale grid window to automatically learn the spatial context for semantic segmentation. Experimental results show that the proposed method has better segmentation accuracy than the conventional bag-of-textons method. By integrating it with other scene interpretation systems, the proposed system can be used to understand road scenes for vehicle environment perception.<p /> 
LA  - 
SN  - 1524-9050
UR  - http://dx.doi.org/10.1109/TITS.2011.2160539
ID  - ref1
ER  -