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推扫型光学传感器的目标联合检测跟踪算法

Keywords: 推扫型光学传感器 随机有限集 联合检测跟踪 高斯混合

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Abstract:

为了从扫描图像序列中检测弱小运动目标并对其状态参数进行估计, 提出一种基于随机有限集理论的目标联合检测跟踪算法.根据推扫型光学传感器的扫描特性, 建立目标在像平面的运动模型和测量模型.将目标状态和量测数据描述为随机有限集合, 将目标的联合检测跟踪问题建模为目标状态集的贝叶斯最优估计问题, 并依据随机有限集理论推导出贝叶斯滤波的预测和更新表达式.从算法实现的角度, 利用高斯混合技术实现算法的递推滤波.仿真结果表明, 该算法适应杂波的能力强, 对漏检的影响更小, 可以有效完成推扫型光学传感器的目标检测跟踪任务

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