基于YUV颜色空间特征的目标跟踪融合算法

Target Tracking Fusion Algorithm Based on YUV Color Space Characteristic

针对遮挡、背景变化等对目标跟踪带来的困难,提出了一种基于YUV颜色空间特征的目标跟踪融合算法。该算法结合卡尔曼滤波和mean-shift算法的优点,并结合一种阈值函数,准确计算目标的最终位置,解决了遮挡、背景变化造成的目标跟丢现象,提高了目标跟踪算法的鲁棒性和准确性。通过实验验证了新方法的有效性和准确性。

In view of the target tracking difficulties caused by the occlusion and the changing of the background, a new target tracking algorithm based on YUV color space characteristic is presented in this paper. It fused the Kalman filter and mean-shift tracking methods to utilize their merits to track target, solving the phenomenon of target losing caused by the occlusion and the changing of the background, enhancing the robustness and the accuracy of target tracking algorithm. The experiments have confirmed the validity and accuracy of this algorithm.