Small Target Detecting and Tracking Based Kernel Density Estimation and Mean-Shift Algorithm

Xiao Ran; Zheng Hua Liu; Le Chang

doi:10.4028/www.scientific.net/AMR.816-817.523

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Small Target Detecting and Tracking Based Kernel Density Estimation and Mean-Shift Algorithm

Abstract:

Detecting and tracking the small moving target which is below 6×6 pixels with low signal to clutter ratio is the main difficulty in practical engineering. Based on morphology, this paper presents a new approach to promote the signal to clutter rate and highlight the small target. Then a new algorithm based on kernel function density estimation and mean-shift algorithm is proposed to track the small target. Experimental results demonstrate that this approach can track and detect the real target effectively.