融合Vibe前景检测的Camshift算法

Improved Camshift Algorithm Fused with Vibe Foreground Detection

Camshift算法是一种以跟踪颜色信息为目标的算法,该算法由于在光照变化、相似背景颜色干扰及目标遮挡的环境下鲁棒性不高,从而易造成视频跟踪的错误。为解决这些问题,将基于Vibe前景检测方法获取的前景信息融入到Camshift算法中,通过这种改进后的Camshift算法可以增强前景和背景的区分度。通过不同场景的视频跟踪结果表明,改进后的Camshift算法能更有效克服原算法的不足,具有较强的鲁棒性。

Camshift is a color-based tracking algorithm. Under illumination variation, similar background interference and target occlusion, the Camshift algorithm has low robustness and is easy to track astray. For solving this problem, an improved Camshifl algorithm fused with the Vibe algorithm can enhance distinction degree between target and background. Video target tracking results of different scenes show that the improved algorithm can effectively overcome the disadvantages of the traditional Camshift algorithm, such as illumination variation, similar background interference and target occlusion while the improved algorithm has higher robustness.