Research on algorithm of abnormal event detection to pedesorian opposing flow in Video Monitoring System of railway passenger station
Xiaojun Lv · Railway Computer Application · 2012
In the railway passenger station,pedestrians were required to run in one way traffic lane in order to guarantee the order and public security in open environments.So,it was an important way to detec if there was pedestrian opposing flow abnormal event.A novel method for detecting opposing flow abnormal event was proposed.Firstly,the HoG features were utilized to detect the pedestrians in the railway passenger station.And then the mean-shift algorithm was used to track the pedestrians to finally determine if there was an abnormal event.The experimental results showed that the proposed method could dramatically reduce the complexity,and as well improve detection accuracy.