Identifying the flowing passenger numbers in complex environments by video images
Luo Zhi · Journal of the China Railway Society · 2003
Real time collecting of passenger flow data is one of the key issued on safely evacuating passenger flows in the railway traffic system. There have been researches inside and outside on monitoring flows by using image processing methods , however, those methods donot prove in complex environments with large and highly moving crowds. In our study, we use CCD to get images, integrate frame differences and abstract background images to detect passenger flows, which overcomes the problem of errors occurring in traditional measure ments; we estimate the passenger numbers of the crowds by calculating the ratio of the foreground image area to the total available image area. The experimental data indicate that the method works well within the range of given errors.