Infrared Target Tracking Method Based on Hierarchical Matching and Background Patching
HUANG Fei, LI DeHua
State Education Commission Key Laboratory for Image Processing and Intelligence Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074
Abstract In infrared image sequence, it is difficult to describe the moving change of target using model on account of its anomalous moving. An infrared target precise tracking method is proposed based on hierarchical matching and background patching. The sequence image difference, which is caused by anomalous tingling of the camera, is wiped off by using background patching method. The tracking precision is improved greatly using the integration of hierarchical matching and background patching. The experimental results show the proposed method is efficient and robust for the infrared target tracking in the clutter background.
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2007, Vol. 20 
