Abstract

For making sense of the vast quantity of visual data generated by the rapid expansion of large scale distributed multi-camera systems in crowded urban spaces, automatic person re-identification is essential. However, it poses a significant challenge to computer vision systems. The majority of current methods for person re-identification is focused primarily on ‘closed-world’ benchmark datasets of limited scope and size. Very little work has been done to address the real-world challenge of person re-id in ‘open-world’ environments typically exhibited in large distributed and disjoint public spaces. In this talk, I will describe recent progress on person re-identification against benchmark datasets, discuss their assumptions and limitations before presenting studies on addressing the more difficult challenge of open-world person re-identification, by exploring context information, user information, and domain-transfer information from open-source data such as the internet for facilitating person re-identification as Big Data Search in crowded urban spaces.

Biography

Shaogang Gong is Professor of Visual Computation (since 2001) and the Director of the Computer Vision Group (since 1995) at Queen Mary University of London. He received his DPhil in computer vision from Keble College, Oxford University (1989) with a thesis on computing optic flow by higher-order geometric analysis, worked as a Research Fellow on the EU ESPRIT project VIEWS for developing Bayesian graphical model-based learning systems for visual surveillance of wide-area scenes (1989-1992), and founded the Queen Mary Computer Vision Laboratory in 1993. He is elected a Fellow of the Institution of Electrical Engineers (now IET), a Fellow of the British Computer Society, a Member of the UK Computing Research Committee, and served on the Steering Panel of the UK Government Chief Scientific Adviser (GCSA) to the Prime Minister’s Science Review.

His research interests include computer vision, machine learning and video analysis. Prof. Gong has published over 300 academic papers; 2 research monographs on “Visual Analysis of Behaviour: From Pixels to Semantics” (2011) and “Dynamic Vision: From Images to Face Recognition” (2000); and 5 edited books on topics ranging from Person Re-Identification (2014), Video Analytics for Business Intelligence (2012), to Face and Gesture Recognition (2003, 2005, 2007).

He twice won the Best Science Prize (1999, 2001) of the British Machine Vision Conferences, the Best Paper Award (2001) of the IEEE International Workshops on Analysis and Modelling of Faces and Gestures, and the Best Paper Award (2005) of the IEEE International Conferences on Imaging for Crime Detection and Prevention. He is a recipient of a Queen’s Research Scientist Award (1987), a Royal Society Research Fellow (1987, 1988), a GEC-Oxford Fellow (1989), a Senior Visiting Scientist at Microsoft Research (2001) and Samsung Electronics (2003). He has founded a number of companies and is the Chief Scientist of three start-ups.

Time:27th(Wednesday)11am 

Location:Xi Hu Yuan Hotel,No.2 Lecture Hall