Moving Targets Detection and Tracking Based on Nonlinear Adaptive Filtering

Abstract

To resolve the problem of the missile detection in the space early-warning process, an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex background in this paper. The method can eliminate the influence of the unbalance background to the image segmentation, select the small moving target and the noise points and then eliminate wrong point targets to obtain the satisfactory detection result. The effectiveness of the method is proved by the experimental results for several infrared image sequences.