多模跟踪技术在轮式侦察车图像处理器的应用

为解决目标旋转形变、遮挡、光照变化等目标跟踪的难题,对粒子滤波和尺度不变特征变换（SIFT）算法进行了改进,结合两种算法提出了决策主导模式的多模跟踪技术。该技术采用粒子滤波预测目标位置进行粗定位,SIFT特征匹配进行精定位的方法,在解决上述难题上有很好的鲁棒性。将该技术应用于轮式侦察车图像处理器,并进行了各种实验验证,结果证明了提出算法的有效性。

Application of multi-pattarn tracking technique in image processor of wheel type scout car

As variety illumination,deformation and rotation of targets and many other complicated conditions are always hard to be cracked in target tracking,this paper researches and improves particle filtering and Scale Invariant Feature Transform（SIFT） algorithms.By combined with the two algorithms,it proposes a multi-pattern tracking technique,which adopts a particle filter to predict target position and then chooses SIFT character matching to get the accurate position of an object.This target tracking is quite robust and has applied to an image processor in a artillery wheel type scout car.Experiments has been performed in many aspects and results prove it is accetable and effective.