|Table of Contents|

Recognition method of moving target using Bayesian probability theory

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2013年01期
Page:
76-
Research Field:
Publishing date:

Info

Title:
Recognition method of moving target using Bayesian probability theory
Author(s):
Xu JingWang Xiaofeng
ZNDY of Ministerial Key Laboratory,NUST,Nanjing 210094,China
Keywords:
moving targetsinfrared image sequencestarget recognitionBayesian probabilityrobusticity
PACS:
TP391
DOI:
-
Abstract:
To recognize moving targets simply and efficiently in infrared image sequences,a novel target recognition method based on Bayesian probability theory is proposed.The target initial position in the original image frame is obtained using the correlation matching algorithm.According to the recognition properties of the target,the decision functions are established.The classification of the connected regions in the current frame is determined by calculating Bayesian probability.The pattern vector is updated after the new target is located in the current frame for the target recognition in the next frame,and the purpose of moving target recognition is achieved.Experimental results show that:according to the recognized properties and probability calculation,the method can recognize the moving target fast and effectively with low computational complexity,and also the algorithm used is suitable for embedded system complementation and has strong robusticity.

References:

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Last Update: 2013-02-15