Robust component-based car detection in aerial imagery with new segmentation techniques – Proceedings

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Authors
  1. Ouyang, Y.
  2. Duval, P-L.
  3. Sheng, Y.
  4. Lavigne, D.A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Laval Univ, Quebec QUE (CAN)
Abstract
Several new techniques are introduced to the component-based vehicle detection in the aerial imagery. The shape-independent tricolour attenuation model based on the spectral power density difference between the regions lighted by direct sunlight and/or diffuse skylight is used to identify cast shadows. The simple linear iterative clustering (SLIC) performs local clustering for superpixels, which were merged by a statistical region merging (SRM) method based on the independent bounded difference inequality theorem. The car body parts were found with Support Vector Machine based on the radiometric and geometric features of the segmented regions. All the algorithms used in this approach require minimum human intervention, providing a robust detection.
Report Number
DRDC-VALCARTIER-SL-2011-433 — Scientific Literature
Date of publication
01 Apr 2011
Number of Pages
10
DSTKIM No
CA037270
CANDIS No
537017
Format(s):
Electronic Document(PDF)

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