Locating people in Real-World for Assisting Crowd Behaviour Analysis Using SSD and Deep SORT Algorithm

In security-sensitive areas, tracking individuals can be of high importance or may even be used to understand crowd activity, how people change their movement within the crowd or most common shops. Crowd activity trends can help to determine the most common locations of public places, which can help attract a wider audience in advertising placement. A growing concern has been public safety; it can be a harrowing experience to track these mischievous elements inside the crowd. This paper provides an approach that can map people with a geographical coordinate, which denotes an individual's realtime position in the real world through a camera feed. This data helps us to track the road, the direction of motion and where a person has turned on a map. These insights include descriptions of in-depth crowd movement that can assist with better surveillance and evaluating crowd activity.