Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of color spaces for shadow identification
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
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This paper proposes a new method for extracting moving objects in high definition video sequence. The proposed method can regard shadows as background and gives the robust result to noise and intensity changes because the method uses a* and b* components of CIELab color space and extracts moving objects by background subtraction of the estimated background image and the observed image. The computational cost is hugely increased by converting RGB color space to CIELab color space and using high definition video. The method addresses this problem by using GPU and decreasing the transfer data from GPU to CPU. Results are demonstrated with experiments on real data.