Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 341-346, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-341-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 Sep 2012
EVALUATION OF SELECTED FEATURES FOR CAR DETECTION IN AERIAL IMAGES
S. Tuermer1, J. Leitloff1, P. Reinartz1, and U. Stilla2 1Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR) 82234 Oberpfaffenhofen, Germany
2Photogrammetry and Remote Sensing (PRS), Technische Universitaet Muenchen (TUM) Arcisstrasse 21, 80333 Munich, Germany
Keywords: vehicle detection, aerial images, Haar-like features, HoG features, Boosting, 3K camera system Abstract. The extraction of vehicles from aerial images provides a wide area traffic situation within a short time. Applications for the gathered data are various and reach from smart routing in the case of congestions to usability validation of roads in the case of disasters. The challenge of the vehicle detection task is finding adequate features which are capable to separate cars from other objects; especially those that look similar. We present an experiment where selected features show their ability of car detection. Precisely, Haar-like and HoG features are utilized and passed to the AdaBoost algorithm for calculating the final detector. Afterwards the classifying power of the features is accurately analyzed and evaluated. The tests a carried out on aerial data from the inner city of Munich, Germany and include small inner city roads with rooftops close by which raise the complexity factor.
Conference paper (PDF, 2130 KB)


Citation: Tuermer, S., Leitloff, J., Reinartz, P., and Stilla, U.: EVALUATION OF SELECTED FEATURES FOR CAR DETECTION IN AERIAL IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 341-346, https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-341-2011, 2011.

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