Car detection in low resolution aerial image

We present a system to detect passenger cars in aerial images where cars appear as small objects. We pose this as a 3D object recognition problem to account for the variation in viewpoint and the shadow. We started from psychological tests to find important features for human detection of cars. Based on these observations, we selected the boundary of the car body, the boundary of the front windshield and the shadow as the features. Some of these features are affected by the intensity of the car and whether or not there is a shadow along it. This information is represented in the structure of the Bayesian network that we use to integrate all features. Experiments show very promising results even on some very challenging images.

[1]  Takeo Kanade,et al.  A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[2]  Rama Chellappa,et al.  Higher order statistical learning for vehicle detection in images , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[3]  Azriel Rosenfeld,et al.  Performance analysis of a simple vehicle detection algorithm , 2002, Image Vis. Comput..

[4]  Pedro M. Domingos,et al.  Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier , 1996, ICML.

[5]  Ramakant Nevatia,et al.  Uncertain Reasoning and Learning for Feature Grouping , 1999, Comput. Vis. Image Underst..

[6]  Hironobu Fujiyoshi,et al.  Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

[7]  Ramakant Nevatia,et al.  Building Detection and Description from a Single Intensity Image , 1998, Comput. Vis. Image Underst..

[8]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[9]  Keith E. Price.  Urban street grid description and verification , 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.