融合灰色预测和HOGI特征的红外目标跟踪方法

doi:10.3969/j.issn.1001-2400.2010.04.030

Abstract

Abstract:

Generally, the IR target tracking method is unable to extract the IR target's feature effectively during the process of IR target tracking. For solving this problem, a novel and robust IR target tracking method is proposed. The method adopts a Grey Model to predict the target's position firstly, and then constructs the Histogram of Oriented Gradient and Illumination (HOGI) of the candidate target area which centers on the predicted position. Finally, the method incorporates this HOGI feature into Mean Shift and realizes the precise tracking. Experimental results show that the proposed method has an excellent tracking precision. When a part or whole of the target is sheltered, the tracking goes on to make sure the target is not lost, which reflects the robustness of the method.

Key words: grey model, HOGI feature, mean shift, target tracking, image processing

ZHANG Qi;CAO Qi;WANG Xiao-wei;BI Du-yan. Novel IR target tracking method based on the grey prediction and HOGI feature[J].J4, 2010, 37(4): 751-757.

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Novel IR target tracking method based on the grey prediction and HOGI feature

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