A Robust Algorithm for Automated Identifying & Tacking Flow Shape Group Moving Targets

This paper discusses the technology of automatically identifying and tracking the flow shape group moving targets and puts forward several kinds of technology and methods for constructing matching templates.The templates matching has been realized by getting across the most of the Euclid pressing close degree choosing approximately principle, and the targets identifying has been achieved, and the targets tracking has been realized by updating elements of the matching templates by turns and using across matching arithmetic.To increase accuracy ratio of identifying and tracking targets, the model structure and parameters are optimized.Then the optimization model of tracing targets was established, which is based on multilevel-serial and multilevel-collateral matching templates.The arithmetic and skill of speediness identifying and tracking targets are also put forward with the model.By the optimization model and arithmetic, the experiments to identify and trackMCSs in summer of 1998, 1999 and 2000 over Tibetan Plateau are performed.The experiments results have shown that:this kind of the technology will very adapt to a computer to automatic identify and track these flow shape group moving targets such as the MCSs.And the optimization model and arithmetic are full of availability to identify and tracking the MCSs.