A Fast Parallel Algorithm for Blind Estimation of Noise Variance
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
International Journal of Computer Vision
A Trainable System for Object Detection
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
A Framework for Low Level Feature Extraction
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Ansichtenbasierte Erkennung von Fahrzeugen
Mustererkennung 2000, 22. DAGM-Symposium
Vehicle Detection on Aerial Images: A Structural Approach
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Higher Order Statistical Learning for Vehicle Detection in Images
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Spatial data management for energy efficient envelope retrofitting
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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This paper introduces an approach to automatic vehicle detection from aerial infrared images of approximately 1m resolution. On one hand, the extraction relies on a local description of cars, i.e. blob-like structures; on the other hand, because many other objects in urban areas have a similar appearance, the local model is extended by a more global description that incorporates knowledge about the appearance of cars as repetitive patterns in dense traffic situations or in filled parking lots. The implemented system is intended to detect vehicles independent of their current state (stationary or moving). Since vehicle velocity is not included as feature for detection, the system can be used as first module for vehicle tracking but also for analyzing traffic congestions or counting cars in parking lots. The only requirement to be met is that cars appear as repetitive patterns which consist of blob-like structures.