Sentence examples for moving shadow removal from inspiring English sources

By considering all these methods, we proposed a fast moving shadow removal scheme by combining texture and statistical models.

This paper would focus on the studies of moving shadows and aim at developing an efficient and robust algorithm of moving shadow removal as well as the related applications.

We in this paper present a real-time and efficient moving shadow removal algorithm based on versatile uses of GMM, including the background removal and development of features by Gaussian models.

This paper would be organized as follows, including the overall architecture, foreground object extraction, feature combination, experimental results on both our proposed moving shadow removal algorithm and the additional application (vehicle-counting), and conclusions.

In this section, we would introduce our entire architecture for algorithms of moving shadow removal which consisted of five blocks, including foreground object extraction, foreground-pixel extraction by edge-based shadow removal, foreground-pixel extraction by gray level-based shadow removal, feature combination, and the practical applications.

Meanwhile, the absent Iris casts a real and moving shadow over the story.

Moving shadow detection methods can employ the frame difference technique to locate moving objects and their moving shadows.

Therefore, the majority of moving shadow detection methods cannot be directly used to detect static shadows in single images.

Siala et al. [14] described a moving shadow detection algorithm by training the manually segmented shadow regions.

Compared with static shadow detection methods, moving shadow detection methods can employ the powerful background subtraction techniques.

The moving shadow points overlap with the moving objects in a video sequence leading to misclassification of the exact object.