Abstract:
Analysis of crowd number and behavior has been an active research area in recent years. People counting really pose a challenging problem to solve due to constant displacement, different outlook and behavior of people. In this study, we are presenting our approach for an efficient real world people counting system during Hajj and Umrah congregation. A novel technique of segmenting people for counting using adaptive thresholding has been proposed. The technique is based on idea of detecting objects of interest and counting people through a slit window. The technique works well for highly occluded crowded scenes in Masjid-e-Haram scenario. It is a very diverse problem and presents variety of challenges to solve. The most challenging problem is to differentiate between ever-changing background and foreground. The density levels of crowd are also variable from single persons to dense crowds. In this study, idea and practical application of the proposed method under real conditions has been described. A series of experiments were conducted on real videos of the event of variable densities and lengths. Finally, experiments proved that, proposed method is applicable in real time scenario with high accuracy.
