摘要
针对Camshift算法无法适应目标的高速运动、复杂背景和遮挡的局限性,本文提出结合帧间差分法和运动估计对Camshift算法进行改进。首先在颜色概率分布图计算中通过帧间差分法加入目标运动信息,实现自动初始化跟踪并排除与目标相似背景颜色的干扰。之后在搜索窗传递过程中预测目标的位置,根据跟踪状态对搜索窗进行调整,以实现对高速运动目标的跟踪。实验表明新算法在目标高速运动、遮挡、和同色干扰情况下,仍能进行有效跟踪。
To enhance Camshift algorithm on the adaptability of high-speed object,complex background and covering,an improved algorithm combining inter-frame difference and motion prediction is proposed. First,before calculating back-projection image,the color information is associated with the motion information gained from inter-frame difference to eliminate color noise and automatically initialize tracking. Second,in order to make the algorithm applicable with high-speed object,position of target is predicted and searching window is updated according to tracking state. Experimental results prove that the improved algorithm is robust to high-speed target,covering and color noises.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第1期55-60,共6页
Opto-Electronic Engineering
作者简介
邬大鹏（1985-），男（汉族），江苏徐州人。硕士研究生，南京航空航天大学，主要研究工作是目标跟踪与机器视觉。E—mail：wudapeng0424@163．com。
