【摘要】 针对复杂环境下的运动目标跟踪问题,提出了一种基于视觉显著性特征的粒子滤波跟踪算法.该算法利用显著性检测算法对序列图片进行检测,生成视觉显著图,然后利用二阶自回归模型对目标状态进行预测,再根据中心强化-四周弱化的机制,生成最终显著图.利用视觉显著图中目标区域像素值较大的特点,提取视觉显著性特征,与颜色特征进行自适应融合,从而完成跟踪.实验结果表明,该算法能够有效应对跟踪过程中出现的场景光照变化和目标姿态变化等问题,具有较强的鲁棒性.更多还原

【Abstract】 To address the problem of moving object tracking in complicated scenes,aparticle filter tracking algorithm based on visual saliency feature was presented.The algorithm detects the object in the image with the saliency detection algorithm to get saliency maps.Target states are predicted using the secondorder autoregressve model,and the final saliency map is obtained with the center-strengthening and edgeweakening mechanism.The saliency feature is extracted according to the phenomenon that in the saliency map pixel value is greater when the pixel is in the target area,and is then fused with the color feature adaptively to complete tracking.Experimental results show that the algorithm can effectively deal with the situation when illumination and appearance change.更多还原