Event Detection and Classification from Live Video Streams 7a.010.UL


Project Start Date: Aug 1, 2018
Research Areas: Analytics, Analytics - Machine Learning, Analytics - Video Analytics
Funding: Member Funded
Project Tags: ,

Project Summary

The overarching goal of the project is to leverage IoT by linking infrastructure and innovations to help local governments better respond to emergencies, manage resources, improve planning, make more informed decisions. This project builds the core component needed for any such IoT deployment to integrate intelligence and facilitate semantic reasoning /autonomous actions in Smart City settings. The project will use the massive amount of real-time sensor data generated in smart city scenarios to detect and classify abnormal events using highly accurate learning algorithms implemented on both edge and cloud.

PERSONNEL

Principal Investigator(s)