IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Moving Shadows using Mean Shift Clustering and a Significance Test
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Shadow Elimination Method for Vehicle Analysis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Moving Shadow Detection with Support Vector Domain Description in the Color Ratios Space
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of moving cast shadows for object segmentation
IEEE Transactions on Multimedia
Detecting moving objects, ghosts, and shadows in video streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Removing shadows casted by moving foreground objects in a scene is a critical problem for many vision-based applications. We propose two algorithms that examine color/texture invariants, and exploit spatial-temporal consistency to detect shadows efficiently and reliably. The first algorithm assumes a static background model while the second algorithm addresses the perturbations of dynamic background in natural scenes. The experimental results show that the proposed methods can detect penumbra as well as umbra in different kinds of scenarios under various illumination conditions.