摘要
针对运动目标进行跟踪,常采用粒子滤波跟踪算法。在目标跟踪算法中,采用基于标靶的表面的纹理与颜色的一套自适应算法,通过对不同的状态转移模型和观测模型,根据不同的目标环境进行自适应的选择,将选择方案用于实验。该实验结果表明该方法在对于标靶目标跟踪上有一定的优势,同时在鲁棒性上有一定的改善。值得科研工作者借鉴。
We generally use particle filter tracking algorithm to track moving targets.In the target tracking algorithm, a set of adaptive algorithms for texture and color based on the target surface is adopted, through the different state transition model and observation model, according to the different target environment for adaptive selection, use the option for the experiment.The experimental results show that the method has some advantages in tracking the target,and there is some improvement in robustness.Worthy of research workers learn from.
出处
《现代信息科技》
2017年第1期5-7,共3页
Modern Information Technology
关键词
目标图像
选择性算法
粒子滤波
标靶跟踪
鲁棒性
target tracking
selective algorithm
particle filtering
target tracking
robustness