【摘要】 讨论了复杂背景下低信噪比运动点目标的检测和跟踪问题 ,提出了基于卡尔曼滤波理论的背景预测、数学形态学膨胀累加、图像流航迹关联和二级并行假设检验的点目标检测方法。实验结果表明该算法能够较大程度提高红外图像的信噪比 ,有效地检测和跟踪点目标 ,并且能够解决目标丢失以及跟踪过程中出现目标的问题。更多还原

【Abstract】 Detection of low signal noise ratio small even point moving target in the condition of complicated background is discussed. A new approach based on Kalman filter, mathematical morphology, motion analysis and two stage hypothesis testing to detect and track point target in such condition is presented. The experiment results with real IR image sequence show that the proposed method can greatly improve the SNR, and effectively detect and track the moving point targets. It can especially dissolve the problems that the targets miss and new targets occur during the detecting and tracking.更多还原