A Test to Determine the Multivariate Normality of a Data Set
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of pattern recognition & computer vision
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Texture Classification Using Hierarchical Linear Discriminant Space
IEICE - Transactions on Information and Systems
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Invariant Face Recognition Using Near-Infrared Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Development of night-vision system
IEEE Transactions on Intelligent Transportation Systems
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Hi-index | 0.00 |
The vision-based intelligent vehicle systems for environment perception have required integration of image data acquired from multiple cameras. We developed multiband camera, which can simultaneously obtain both images of visible color and near infrared. In this paper, we present a texture-based objects recognition under road environment scene using a multiband image. The new color feature is proposed to cluster meaningful regions of a multiband image and the texture segmentation is utilized in classification of texture-based objects. Experimental results show that the proposed method effectively recognizes the texture-based objects including roads, buildings, trees, and sky, as well as faces of pedestrians. In the future, by integrating the shape-based objects recognition, which includes pedestrians, cars, and bicycles with texture-based objects recognition, the proposed system can expand into a complex scene understanding system for vehicle environment perception.