SCRS Conference Proceedings on Intelligent Systems
Crowd Management and Monitoring Using Deep Convolutinal Neural Network
Authors: Pratiksha Singh and A. K. Daniel
Publishing Date: 11-10-2021
ISBN: 978-93-91842-08-6
Abstract
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/ indi-vidual’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 Vec-tor Machine. The data set are taken from Mall, Kumbh Mela, and UCFD. The performance of the model us-ing training and testing of data is improved.
Keywords
crowd management; crowd monitoring; crowd detection; radio frequency identification; support vector ma-chine; Deep convolutional neural network.
Cite as
Pratiksha Singh and A. K. Daniel, "Crowd Management and Monitoring Using Deep Convolutinal Neural Network", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2021, pp. 171-179. https://doi.org/10.52458/978-93-91842-08-6-15