Motion Targets Matching Approach Based on Improved Hidden Markov Model
ZHANG Hongyu1 T
AO Zhi
Abstract：Nowadays,with increasing growing of maritime activities,the target recognition is getting more and more impor?tant. History tracks based activity analysis is of great importance in target recognition. This research adopts improved Hidden Mar?kov Model(HMM)to deal with track matching between dynamic tracks of motion targets and history tracks,which can be used in primary recognition of targets. First of all,databases and indexes can be constructed based on history tracks. Secondly,given tracks retrieved from database,HMM is used to complete track matching. Thirdly,according to the largest matching probability,the mo?tion target is cataloged as specified class. The simulations prove that this method is efficient and effective in track matching,which provides good evidences in comprehensive identification.
Keywords：HMMtrack matchingtarget recognitionradar track
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 39-42,57 )