摘要
为了有效地实现复杂环境下视频目标跟踪,在分析了基于颜色分布的均值偏移跟踪算法的基础上,提出了一种联合空间信息的改进均值偏移算法,此算法是将目标空间位置预测与均值偏移算法定位结果通过加权得到最终目标位置,实验表明,改进算法将目标颜色分布与目标空间运动信息相结合,保证了跟踪效果的稳定性和鲁棒性.
.Efficient video target tracking is challenging problem under complex environments. Mean-Shift Algorithm （MSA） based on color distribution is analyzed. A target tracking of MSA combining spatial feature is proposed in this paper, it is an improvement of MSA. The improved algorithm is weighting the spatial estimating location and the result of MSA to obtain the final location of target in this paper. In the experiments, the improved algorithm increased the reliability and robustness of tracking because of integrating the color distribution with spatial feature of target.
出处
《小型微型计算机系统》
CSCD
北大核心
2006年第9期1746-1749,共4页
Journal of Chinese Computer Systems
基金
陕西省自然科学基金项目(2003F109)资助
关键词
均值偏移算法
空间特征
目标跟踪
颜色分布
mean-shift algorithm
spatial feature
target tracking
color distribution
