🏆 1st Place
IEEE SPS 5-Minute Video Clip Contest
“Fight the Pandemic”
Visual Analytic System for Pandemic Management During COVID-19
Team Leader · 1st Place · IEEE ICIP 2020

A team from the ROSE Lab won 1st place at the IEEE Signal Processing Society's (SPS) 5-Minute Video Clip Contest (5-MICC) with the theme "Fight the Pandemic". This contest was organized in conjunction with the IEEE International Conference on Image Processing (ICIP) 2020.

Team

Dr. Lin Shan (Team Leader, Research Fellow) with undergraduate students from NTU School of Electrical & Electronic Engineering, University of Electronic Science & Technology China (UESTC), and Indian Institute of Technology Indore. Supervised by Prof. Alex Kot, Director of ROSE Lab, NTU.

System Overview

Our entry was entitled "Visual Analytics System for Pandemic Management during COVID-19". It utilizes AI-based video analytics for contact tracing and pandemic control functions. By using various AI models developed by the ROSE Lab, the proposed platform performs quick person searches and contact tracking within a network of surveillance cameras, while proactively monitoring for safety violations.

Person Detection
Real-time AI-based pedestrian detection across the camera network
Face Mask Detection
Automated detection of individuals not wearing face masks
Social Distance Monitoring
Alarm system triggered when social distancing violations are detected
Person Re-identification
Contact tracing through cross-camera person matching
Path Tracing
Historical trajectory reconstruction for contact tracing investigations
Crowd Heat Map
Real-time population density visualization for crowd management

Person Detection / Face Mask Detection / Social Distance Estimation

Person Detection, Mask Detection and Social Distance Estimation
AI-based person detection, face mask detection, and social distance violation alerts.

Person Re-identification (Contact Tracing)

Path Tracing for Contact Tracing
Contact tracing through person re-identification and historical path tracing across cameras.

Real-time Crowd Heat Map / Live Video Streaming

Real-time Crowd Heat Map
Real-time crowd density heat map for proactive crowd management.
Live Video Streaming Interface
Live video streaming interface integrated with AI analytics.