International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 38 |
Year of Publication: 2019 |
Authors: Obbo Aggrey, Nabaasa Evarist |
10.5120/ijca2019918383 |
Obbo Aggrey, Nabaasa Evarist . Survey of Crowd Detection Algorithms using Wireless Sensor Networks: A Case of People Crowds. International Journal of Computer Applications. 182, 38 ( Jan 2019), 1-7. DOI=10.5120/ijca2019918383
In this paper a survey is carried out on crowd detection algorithms, highlighting challenges and gaps vis-a-avis people crowd detection. The research identifies some of the key capabilities considered invaluable in effective people crowd detection and compares some of the current crowd detection algorithms with regard to these. The results reveal that most algorithms are primarily non-people crowd detection algorithms. While people crowds are intelligent and can easily bypass most of the current crowd detection algorithms. Given the need for detection and management of people crowds, there is great need for specialized algorithms for people crowd detection using effective and non resource intensive methods.