… Video surveillance system came into existence for security and crime control … In this paper,
object detection approaches are utilized to detect human pedestrians and crowd behavior …

… Crowd detection and density estimation from crowded … as crime detection, congestion,
public safety, crowd abnormalities, visual surveillance and urban planning. The purpose of crowd …

… detection of such misbehavior elements, This paper proposed a model for crowd management
… that activities in the social space are shown such as crime activities, Terrorist attack etc. …

… machines to revolutionize crime detection and crowd management. Harnessing … of criminal
activity. Furthermore, our application extends beyond crime prevention to crowd management…

… aim to revolutionize crowd management, crime prevention, and … the detection of anomalous
behavior, tracking of crowd … of accurately detecting, tracking, and analyzing crowd dynamics …

… we consider pedestrian and group detection as essential tools for crowd analysis but not a
… , density estimation is frequently related to crowd management and can be used by security …

… Over the last 10 years, various methods for crowd management in real time scenario have
… detection of such kind of a crowd avoid these problems. In such sort of crowd management, …

… Precisely predicting the emergence of crowds and gauging their density is crucial for effective
event planning and crowd management. The recent COVID-19 pandemic further highlights …

… further implications for crowd management and public safety. … pedestrians for inflight (crime)
detection, this study provided … pedestrian, and would identify criminal activity based on the …

… online and control crimes [8]. Thus, … detection, which further helps prevent crimes and terrorist
attacks. The integration of deep learning with IoT is required for crowd anomalies detection …