Vehicle Segmentation and Classification Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients
International Journal of Computer Vision
Aided and Automatic Target Recognition Based Upon Sensory Inputs From Image Forming Systems
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
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
WSEAS Transactions on Computers
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This paper introduces a new approach on automatic vehicle detection in monocular large scale aerial images. The extraction is based on a hierarchical model that describes the prominent vehicle features on different levels of detail. Besides the object properties, the model comprises also contextual knowledge, i.e., relations between a vehicle and other objects as, e.g., the pavement beside a vehicle and the sun causing a vehicle's shadow projection. In contrast to most of the related work, our approach neither relies on external information like digital maps or site models, nor it is limited to very specific vehicle models. Various examples illustrate the applicability and flexibility of this approach. However, they also show the deficiencies which clearly define the next steps of our future work.