Abstract

The act of counting the number of people or objects in a video or photograph is known as crowd counting. Numerous aspects of daily life, such as urban planning, healthcare crisis management, public safety management, and defence , can benefit from this strategy. New studies are being carried out in this area as a result. This crowd enumerating system can be used to identify the crowd patterns in the highly crowded areas can be used for analysis of the most crowded time of the day , least crowded time of the day. In this crowd enumerating system we can identify the gender of the persons in a particular crowded area in order to identify the most interested gender persons in a particular area and least interested . As this crowd enumerating system can be used in order to introduce new products to the market and identify the patterns of people who were interested in product and also be used as analysis in order to manage crowds by observing the previous crowded areas . In this we have used the Deep Learning based models and techniques for identifying the crowd patterns for detecting and counting the number of people in a particular area.