A multimodal approach to time-invariant scene retrieval from single overhead image
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Car detection in aerial thermal images by local and global evidence accumulation
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
A view-based statistical system for multi-view face detection and pose estimation
Image and Vision Computing
Detection of free-form objects using appearance-based local features
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Hi-index | 0.00 |
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order statistics (HOS) information of the `vehicle class' from sample images. Given a test image, statistical information about the background is learnt `on the y'. An HOS-based decision measure then classifies test patterns as vehicles or otherwise.When tested on real images of aerial views of vehicular activity, the method gives good results even on complicated scenes. It does not require any a priori information about the site. However, it is amenable to augmentation with contextual information. The method can serve as an important step towards building an automated roadway monitoring system.