Crowd Reckoning towards Preventing the Repeat of ‘2015 Hajj Pilgrims Stampede’
Aminu Ibrahim Musa, Mohammad Marufur Rahman, Muhammad Sheikh Sadi, Md Shamimur Rahman · 2017
The issue of crowd reckoning has as of late gotten noteworthy consideration in the current era. Given an image of a crowded environment, the objective is to evaluate the density of the crowd, by counting the quantity of individuals that it contains. There are some approaches to solve crowd reckoning problem. They intend to reckon crowd for a medium sized place. But crowd detection at Hajj Pilgrimage site has never been tried before as far we have studied. Hajj Pilgrimage sites are different than most of the places. The aim of this work is to prevent any future stampede at Hajj Pilgrimage sites. This paper proposes a method where head detection technique is used for the crowd reckoning. It uses the segmentation of head regions from still images. The crowd reckoning will determine the possibility of a stampede and can alarm the people to take necessary steps. Assessment of the proposed model demonstrates worthy performance in realistic operating conditions.