摘要
针对笔尖在书写过程中易受光线、阴影和速度过快等不利因素影响的问题,提出一种基于粒子滤波的多模板笔尖跟踪算法,利用笔尖的形状特点检测定位笔尖,在粒子滤波的基础上融合多模板匹配进行笔尖跟踪。实验结果表明,该算法在采用较少粒子数的条件下,可以避免不利因素的影响,取得较好的跟踪效果。
For overcoming the lighting,shadow and excessive speed effects during the writing process,this paper proposes a multi-templates pen tip tracking algorithm based on particle filtering.Pen tip is detected according to its shape,and the pen tip tracking is implemented by particle filtering with multi-templates.Experimental results show that this algorithm is effective using fewer particles and the effects of adverse factors can be avoided to some extent.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第21期136-137,140,共3页
Computer Engineering
基金
国家自然科学基金资助项目(61103116)
重庆市自然科学基金资助项目(CSTC2009BB2208)
关键词
笔尖检测
笔尖跟踪
粒子滤波
模板匹配
基于视觉的签名
pen tip detection
pen tip tracking
particle filtering
template matching
visual-based signature