A Robust Bi-Directional Algorithm For People Count In Crowded Areas
Satyanarayana Penke Gopikrishna Pavuluri Soukhya Kunda Satvik M CharanKumar Y
People counting system in crowded places has become a very useful practical
application that can be accomplished in various ways which include many
traditional methods using sensors. Examining the case of real time scenarios,
the algorithm espoused should be steadfast and accurate. People counting
algorithm presented in this paper, is centered on blob assessment, devoted to
yield the count of the people through a path along with the direction of
traversal. The system depicted is often ensconced at the entrance of a building
so that the unmitigated frequency of visitors can be recorded. The core premise
of this work is to extricate count of people inflow and outflow pertaining to a
particular area. The tot-up achieved can be exploited for purpose of statistics
in the circumstances of any calamity occurrence in that zone. Relying upon the
count totaled, the population in that vicinity can be assimilated in order to
take on relevant measures to rescue the people.