Crowd Management and Monitoring using Deep Convolutinal Neural Network

India is counted as one of the most populated countries in the world. A lot of crime is also increasing due to the increasing population, as criminal activities are more frequent in a crowded place. Being crowded is also facing a lot of diseases. Therefore, crowd management and monitoring are very important therefore viewed from the security, crowd management, and monitoring plays a very important role in identifying group/ individual’s behavior in a crowd using video and image sequence for counting the person and detection of such misbehavior elements, This paper proposed a model for crowd management and monitoring person counting as object detection techniques. This paper proposed Deep Convolutional Neural Network, and Support Vector Machine. The data set are taken from Mall, Kumbh Mela, and UCFD. The performance of the model using training and testing of data is improved.