Effective automatic intelligent video analysis of large-scale data from public spaces is an important tool in the fight
against crime and for safeguarding public safety. Automatic video analytics capable of rapid processing (faster than
real-time) of very large surveillance data is critically required in a global market including China and the UK. Whilst
there are video analytics systems in the market, the challenge for domain-transferable video abnormal event detection
with people and vehicle re-identification (search) in multi-source open data is still unsolved.
A bilateral funding scheme from
Innovate UK
and
Jiangsu Science and Technology Department
is supporting
Vision Semantics Ltd,
Queen Mary University of London,
Sanleng Smart City & IOT System Co. Ltd and
University of Science and Technology to jointly develop innovative and scalable systems for abnormal event detection
with joint person and vehicle search in unconstrained public spaces.