SAMURAI-Suspicious and Abnormal behaviour Monitoring Using a netwoRk of cAmeras for sItuation awareness enhancement
SAMURAI is a collaborative project funded under the European Commission Seventh Framework Programme Theme 10 (Security). The aim of
SAMURAI is to develop and integrate an innovative intelligent surveillance system for monitoring people and vehicle activities at both
inside and surrounding areas of a critical public infrastructure.
The project consortium consists of 8 partners across the EU, led by Queen Mary, University of London with Professor Shaogang Gong as
the project co-ordinator.
Project Aims
The aim of SAMURAI is to develop and integrate an innovative intelligent surveillance system for robust monitoring of both inside and
surrounding areas of a critical public infrastructure. SAMURAI has three significant novelties that make it distinctive from other
recent and ongoing relevant activities both in the EU and elsewhere: *SAMURAI is to employ networked heterogeneous sensors rather than
CCTV cameras alone so that multiple complementary sources of information can be fused to create a visualisation of a more complete 'big
picture' of a crowded public space. * Existing systems focus on analysing recorded video using pre-defined hard rules, suffering from
unaccepted false alarms. SAMURAI is to develop a real-time adaptive behaviour profiling and abnormality detection system for alarm
event alert and prediction with much reduced false operators and mobile sensory input for patrolling security staff for a hybrid
context-aware based abnormal behaviour recognition.
This is in contrary to current video behaviour recognition systems that rely purely on information extracted from the video data, often
too ambiguous to be effective.
SAMURAI has the following scientific objectives:
Develop innovative tools and systems for people, vehicle and luggage detection, tracking, type categorisation across a network of
cameras under real world conditions.
Develop an abnormal detection system based on a heterogeneous sensor network consisting of both fix-positioned CCTV cameras and
mobile wearable cameras with audio and positioning sensors. These networked heterogeneous sensors will function cooperatively to provide
enhanced situation awareness.
Develop innovative tools using multi-modal data fusion and visualisation of heterogeneous sensor input to enable more effective
control room operator queries.
