计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (15): 195-200.

• 图形图像处理 • 上一篇    下一篇

鲁棒性指尖检测框架及其算法改进与分析

徐义春,沈沆瑜,陈  炼,周敦广   

  1. 三峡大学 计算机与信息学院,湖北 宜昌 443002
  • 出版日期:2013-08-01 发布日期:2013-07-31

Robust system framework and improvement of algorithms in fingertips detection

XU Yichun, SHEN Hangyu, CHEN Lian, ZHOU Dunguang   

  1. College of Computer and Information, China Three Gorges University, Yichang, Hubei 443002, China
  • Online:2013-08-01 Published:2013-07-31

摘要: 针对目前指尖检测中存在漏检、误检且易受手区域尺寸大小影响等缺陷,提出了一种加强检测性能的指尖检测框架,对算法自适应性进行了针对性的改进。在利用运动信息和肤色信息提取出手区域的基础上,用包含排漏算法的自适应指尖检测算法检测出指尖,通过提取每个指尖对应的指宽、指长、指向以及手掌宽度信息对检测到的指尖进行筛选,排除误检的指尖,分别与固定k-余弦算法和可变k-余弦算法进行比较,实验结果表明提出的自适应指尖检测算法检测率高、鲁棒性好。

关键词: 指尖检测, 尺度不变角度检测, 轮廓提取, 自适应, k-余弦

Abstract: A robust system framework of fingertips detection is proposed to deal with missing detections, false detections, and sensitivity to the hand area size. After detection of the hand area based on motion information and skin color, fingertips are detected by an adaptive fingertips detection algorithm which can avoid missing detections. Then the parameters such as finger width, finger length, finger orientation, and palm width are used to filter the false detections.The experimental results show that the proposed adaptive fingertips detection algorithm has high detection rate and good robustness compared with the existing fixed and variable k-cosine algorithms.

Key words: fingertips detection, scale invariant angle detection, contour extraction, adaptive, k-cosine