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10a.002.TAU_WP3 - Early Anomaly Recognition System

Project - Summary

  • Natural catastrophes and outbreaks, such as COVID-19, impose restrictions on citizens movement and daily life. Such restrictions are maintained by governmental bodies and agencies using CCTV cameras, monitored by operators, and by on site personnel. However, these conventional monitoring techniques are very labor intensive and suffer from subjective interpretations and human error due to fatigue.
  • This project aims to provide a real-time early anomaly recognition system based on advanced Computer Vision and Deep Learning algorithms that can be implemented on top of a wide CCTV infrastructure and monitoring grid.
  • The proposed system aims to detect and identify curfew infractions, social distancing violations, illegal gatherings, and general threats such as fire, smoke, unattended objects in public places, and abnormal behaviors.
  • The application domains of this project include both surveillance and empathic buildings development.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Moncef Gabbouj PI 358 40 073 6613 Tampere University
Serkan Kiranyaz Co-PI 97 43 063 5600 Tampere University
Mohammad Al-Sa'd Researcher 358 41 799 3159 Tampere University
Matti Vakkuri Project Mentor Haltian

Project - Novelty of Approach

See “Project Summary” section above.

Project - Deliverables

1 Video feeds from different cameras optimized for efficient anomaly detection
2 Software based on existing methods written in MATLAB/Python/C++
3 Software utilizing GPUs and parallel computation for enhanced performance
4 Multi-view early anomaly recognition system framework
5 Quantitative investigation identifying strengths and potential weaknesses

Project - Benefits to IAB

  • The recent COVID-19 outbreak imposes immediate needs for such a comprehensive surveillance and tracking system for indoors and outdoors.
  • The application domains include both surveillance and empathic buildings development.
  • This is beneficial for any CVDI company who wishes to be among the pioneers of this next generation monitoring systems and empathic building.

Project - Documents

projects/year10/10a.002.tau_wp3.1652212550.txt.gz · Last modified: 2022/05/10 14:55 by sally.johnson