Crowd Management and Monitoring Using Deep Convolutinal Neural Network

Pratiksha Singh, A. K. Daniel · Soft Computing Research Society eBooks · 2021

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.

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