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Proceedings Paper

Robust vehicle detection in aerial images based on salient region selection and superpixel classification
Author(s): Samir Sahli; Pierre-Luc Duval; Yunlong Sheng; Daniel A. Lavigne
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Paper Abstract

For detecting vehicles in large scale aerial images we first used a non-parametric method proposed recently by Rosin to define the regions of interest, where the vehicles appear with dense edges. The saliency map is a sum of distance transforms (DT) of a set of edges maps, which are obtained by a threshold decomposition of the gradient image with a set of thresholds. A binary mask for highlighting the regions of interest is then obtained by a moment-preserving thresholding of the normalized saliency map. Secondly, the regions of interest were over-segmented by the SLIC superpixels proposed recently by Achanta et al. to cluster pixels into the color constancy sub-regions. In the aerial images of 11.2 cm/pixel resolution, the vehicles in general do not exceed 20 x 40 pixels. We introduced a size constraint to guarantee no superpixels exceed the size of a vehicle. The superpixels were then classified to vehicle or non-vehicle by the Support Vector Machine (SVM), in which the Scale Invariant Feature Transform (SIFT) features and the Linear Binary Pattern (LBP) texture features were used. Both features were extracted at two scales with two size patches. The small patches capture local structures and the larger patches include the neighborhood information. Preliminary results show a significant gain in the detection. The vehicles were detected with a dense concentration of the vehicle-class superpixels. Even dark color cars were successfully detected. A validation process will follow to reduce the presence of isolated false alarms in the background.

Paper Details

Date Published: 26 May 2011
PDF: 11 pages
Proc. SPIE 8020, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII, 80200L (26 May 2011); doi: 10.1117/12.883890
Show Author Affiliations
Samir Sahli, Univ. Laval (Canada)
Pierre-Luc Duval, Univ. Laval (Canada)
Yunlong Sheng, Univ. Laval (Canada)
Daniel A. Lavigne, Defence Research and Development Canada, Valcartier (Canada)


Published in SPIE Proceedings Vol. 8020:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII
Daniel J. Henry; Beato T. Cheng; Dale C. Linne von Berg; Darrell L. Young, Editor(s)

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