Title: People Re-Identification and Tracking across Multiple CCTV Cameras – June 5th, 2020

Speaker – Professor Chang-Tsun Li

Abstract: The CCTV camera network deployed at airports play a key role in security assurance by allowing the airport authority to monitor the dynamics of the airport and enhance situation awareness. However, manually monitoring several camera feeds is not only costly, but also ineffective due to many obvious physical constraints and human factors. Consequently, these feeds are usually monitored sparingly. This talk is to introduce the outcomes of a project entitled “Real-time Detection of Concealment of Intent for Passenger Screening” funded by the UK Ministry of Defence through its Defence and Security Accelerator (DASA) scheme. The project is intended to develop a set of technologies that enable video surveillance systems at airports to perform automatic people tracking and abnormal behaviour analysis with computer vision and artificial intelligence.

Bio: Chang-Tsun Li received the BSc degree in electrical engineering from National Defence University (NDU), Taiwan, in 1987, the MSc degree in computer science from U.S. Naval Postgraduate School, USA, in 1992, and the PhD degree in computer science from the University of Warwick, UK, in 1998. He was an associate professor of the Department of Electrical Engineering at NDU during 1998-2002 and a visiting professor of the Department of Computer Science at U.S. Naval Postgraduate School in the second half of 2001.  He was a professor of the Department of Computer Science at the University of Warwick, UK, until Dec 2016. He was a professor of the School of Computing and Mathematics, and Director of Data Science Research Unit, Charles Sturt University, Australia from January 2017 to February 2019. He is currently Professor of Cyber Security of the School of Information Technology at Deakin University, Australia. His research interests include multimedia forensics and security, biometrics, data mining, machine learning, data analytics, computer vision, image processing, pattern recognition, bioinformatics, and content-based image retrieval.  The outcomes of his multimedia forensics research have been translated into award-winning commercial products protected by a series of international patents and have been used by a number of law enforcement agencies, national security institutions, courts of law, banks and companies around the world. He is currently Associate Editor of the EURASIP Journal of Image and Video Processing (JIVP) and Associate of Editor of IET Biometrics. He has published over 200 papers in prestigious international journals and conference proceedings, including a winner of 2018 IEEE AVSS Best Paper Award. He contributed actively in the organisation of many international conferences and workshops and also served as member of the international program committees for numerous international conferences.  He is also actively disseminating his research outcomes through keynote speeches, tutorials and talks at various international events.

Date:  Friday 5 June 

(First Friday of every month) 

Time: 12:00 – 12:20 pm

Zoom Meeting ID: 910 2414 8847
Password: 960476

Join via Zoom – https://deakin.zoom.us/j/91024148847?pwd=T2hqSlBkOVc4VU9nVlQwMlhXWHZmZz09