Infrared Target Tracking Algorithm Based on Contextual Cue
PENG Geng
ZHOU Wei
SUN Yanli
Abstract：The traditional tracking algorithm usually ignores the relevance of time and space of the target and its background, so it cannot distinguish between infrared target and background edge effectively,and produces deviation. Aiming at the problem,in this paper,the fast and robust tracking algorithm in the Bayesian theory framework based on the contextual cue of target is proposed by analyzing the statistical correlation between target and adjacent background. The experiment results show that the tracking algo?rithm is simple and fast,and has higher tracking accuracy and robustness.
Keywords：statistical correlationcontextual cuetarget tracking
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：4( 1353-1356 )