Title :
A Template-based Method for Force Group Classification in Situation Assessment
Author :
Huimin, Chai ; Baoshu, Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an
Abstract :
Force group classification is a key component of situation assessment. In the paper, a template-based method is proposed to recognize force group in the battlefield. First, the corresponding templates are constructed to represent each level group according to the hierarchy for force group. Then, the template-matching algorithm is given in order to match the group with templates. In this paper, the nearest-neighbor clustering algorithm is employed to merge targets into groups by position and direction. Based on the aggregation result, the aggregated group type is recognized using template-based method according to the group attribute. Finally, a simple application of the method is described. The results show that the method is available
Keywords :
image classification; image matching; military computing; pattern clustering; force group classification; group attribute; nearest-neighbor clustering algorithm; situation assessment; template-based method; template-matching algorithm; Application software; Bayesian methods; Clustering algorithms; Competitive intelligence; Computational intelligence; Computer science; Computer security; Decision making; Partitioning algorithms; Force group classification; Situation assessment; template;
Conference_Titel :
Computational Intelligence in Security and Defense Applications, 2007. CISDA 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0700-1
DOI :
10.1109/CISDA.2007.368139
