Research On The Small Targets Detection And Tracking Methods Under The Complex Environment

The research of the moving objects tracking before detecting under the complex background is mainly studied in my paper. The moving small objects are served as the research objects in my paper. Firstly, a background processing algorithm based on inter-frame difference and background modeling is proposed, which has achieved effects of background suppression and target enhancement. Secondly, target tracking update algorithm based on particle filter algorithm for small target tracking in low SNR, the algorithm can track single moving targets and multiple moving targets. Lastly, a centroid extraction algorithm is proposed, reducing the false detection, false alarm probability in the target detection process effectively. Those experiments demonstrate the algorithms can detect and track the moving objects in accuracy and real time.