Abstract
Cast shadows from moving objects reduce the general ability of robust classification and tracking of these objects, in outdoor surveillance applications. A method for segmentation of cast shadows is proposed, combining statistical features with a new similarity feature, derived from a physics-based model. The new method is compared to a reference method, and found to improve performance significantly, based on a test set of real-world examples.
| Original language | English |
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| Title of host publication | Den 14. Danske Konference i Mønstergenkendelse og Billedanalyse |
| Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU |
| Publication date | 2005 |
| Publication status | Published - 2005 |