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。
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
Abstract: 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.
Key words:
pen tip detection,
pen tip tracking,
particle filtering,
template matching,
visual-based signature
中图分类号:
文静, 陈俊霖. 基于粒子滤波的多模板笔尖跟踪算法[J]. 计算机工程, 2011, 37(21): 136-137,140.
WEN Jing, CHEN Dun-Lin. Multi-templates Pen Tip Tracking Algorithm Based on Particle Filtering[J]. Computer Engineering, 2011, 37(21): 136-137,140.