复杂环境下的改进Camshift算法研究

Study of improved Camshift algorithm in complex environment

针对Camshift算法要求相邻两帧之间的目标必须具有较大的颜色相似性,对于目标在高速运动情况下和跟踪目标受到遮挡的情况下容易出现目标丢失,并且在目标遇到相似颜色干扰的时候容易受到干扰的问题,提出一种基于加权颜色概率分布,引入局部搜索引导机制,结合kalman滤波预测的改进camshift算法,实验证明,该算法在复杂背景,物体高速运动或遇到遮挡的情况下都有较好的跟踪效果,并且跟踪效率得到的提升。

Camshift algorithm requires the target have a large color similarity between the adjacent frames ,the target is easy to get lost when moving in high speed or occlusion appears.Aiming at this,an improved Camshift algorithm is proposed ,which contains a weighted color probability distribution and local-search-guiding mechanism,combining with the Kalman filter forecasting model.The experiments show that,this algorithm have a good tracking effect in complex background when object moves in high-speed or it is occluded.