...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Image Processing, IET >Comparative framework for vision-based gesturing modes and implementation of robust colour-marker detector for practical environments
【24h】

Comparative framework for vision-based gesturing modes and implementation of robust colour-marker detector for practical environments

机译：用于实际环境的基于视觉的手势模式的比较框架和强大的颜色标记检测器的实现

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, the authors have provided a detailed analysis based on experimental analysis, user-feedback, and the literature survey to choose the appropriate gesturing mode between colour-markers and bare-hand for virtual dynamic gesturing system. Salient factors such as lexicon duration, muscle strain, target users, detection/tracking accuracy and so on, indicated that colour-marker based models can outperform bare-hand systems in real-world scenarios. Colour-markers are more robust to factors such as uneven illumination, affine transformations, and holds a better similarity to the natural way of writing on paper. However, colour-markers can easily be erroneously detected/tracked due to the presence of imposters in the background. Most of the existing colour-marker systems are developed with this limitation that reduces the naturalness and confines its application to a narrowed environment. This study addresses multiple types of frequently occurring imposters which are static/dynamic in nature and occlude the genuine colour-marker often times. The imposters are distinguished based on factors such as speed, start/end position, the area of motion and so on. Some uncertain types of imposters which are partly similar to genuine gestures are distinguished based on the randomness present in the trajectories and classification models. The proposed techniques have achieved an accuracy of 98.26% in distinguishing the given imposter categories in this system.
机译：在这项研究中，作者提供了基于实验分析，用户反馈和文献调查的详细分析，以便为虚拟动态手势系统在颜色标记和裸手之间选择合适的手势模式。诸如词典持续时间，肌肉劳损，目标用户，检测/跟踪准确性等显着因素表明，基于颜色标记的模型在实际场景中的表现可胜过裸手系统。颜色标记对诸如照明不均匀，仿射变换之类的因素更健壮，并且与自然书写方式具有更好的相似性。但是，由于背景中存在冒名顶替者，因此很容易错误地检测/跟踪颜色标记。大多数现有的颜色标记系统都是在这种限制下开发的，该限制会降低自然度并将其应用限制在狭窄的环境中。这项研究研究了多种类型的频繁出现的冒名顶替者，这些冒名顶替者本质上是静态/动态的，并且经常遮盖真正的颜色标记。根据诸如速度，起始/结束位置，运动区域等因素来区分冒名顶替者。基于轨迹和分类模型中存在的随机性，可以区分出部分类似于真实手势的不确定类型的冒名顶替者。所提出的技术在该系统中区分给定冒名顶替者类别方面已达到98.26％的准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号