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An Algorithm of Visual Target Tracking based on Particle Filter under Clutter

机译:杂波下基于粒子滤波的视觉目标跟踪算法

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摘要

An improved particle filter algorithm was presented to track a moving target under natural environment,in which the colour histogram was integrated with the measurement model,the latest observations was taken into account and the system model is the second order autoregressive process.The proposed method can deal with rotation and scale transformation,variations in the light source and partial occlusions,and the tracked target can be rigid or non-rigid.The demonstration examples showed that the method can track the target with robustness in real-time.
机译:提出了一种改进的粒子滤波算法来跟踪自然环境下的运动目标,该方法将颜色直方图与测量模型集成在一起,考虑了最新的观测结果,系统模型是二阶自回归过程。处理旋转和比例变换,光源和部分遮挡的变化,被跟踪目标可以是刚性的也可以是非刚性的。实例演示表明,该方法可以实时,鲁棒地跟踪目标。

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