Visibility Estimation Based on Mean Shift
Wenbing Chen, Xiaolei Zhang, Jianwei Yang · 2009
An algorithm is developed to estimate visibility from images captured by video cameras. We propose to smooth the captured image by mean shift and extract the landmark edge by an improved ADM. Then the visibility is estimated in terms of a simplified visibility definition. In comparison with traditional methods, our method not only remove the noise in landmark boundary region, but also make boundary region be more uniform and the extracted edge be more salient. Experimental results illustrate the effectiveness of our approach in visibility estimation.