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SS19 - Extended Object and Group Tracking

Standard  target tracking algorithms usually assume that the target is a single  point without an extent. However, there are several scenarios in which  this assumption is not feasible. For example, when the resolution of  modern sensor devices is higher than the spatial extent of the target, a  varying number of measurements from different spatially distributed  reflection centers on the target are received. Furthermore, a  collectively moving group of point targets can be treated as a single  extended target because of the high interdependency of the group  members.  

This  Special Session addresses fundamental techniques, recent  developments  and future research directions in the field of extended  object and  group tracking. 

Topics of interest 

  •  Methodologies  for tracking extended objects and groups:  Bayesian inference,  nonlinear filtering, random sets, and data  association 
  •  Target models 
  •  Target classification 
  •  Sensors: Radar devices, laser rangefinders, RGB cameras, and depth cameras 
  •  Applications: Surveillance, robotics, medicine, and biology 
  •  Case studies: Benchmark scenarios, performance measures 


Extended object tracking, group target tracking, shape estimation 

Special Session Organizers

  • Uwe D. Hanebeck, Karlsruhe Institute of Technology (Germany)
  • Wolfgang Koch, Fraunhofer FKIE (Germany)
  • Peter Willett, University of Connecticut (U.S.A.)
  • Marcus Baum, University of Connecticut (U.S.A.)

Special Session Contact