...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >VISUAL-BASED HUMAN ACTION RECOGNITION ON SMART PHONES BASED ON 2D AND 3D DESCRIPTORS
【24h】

VISUAL-BASED HUMAN ACTION RECOGNITION ON SMART PHONES BASED ON 2D AND 3D DESCRIPTORS

机译：基于2D和3D描述子的智能电话上基于视觉的人的动作识别

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

The aim of this work is to present a visual-based human action recognition system which is adapted to constrained embedded devices, such as smart phones. Basically, vision-based human action recognition is a combination of feature-tracking, descriptor-extraction and subsequent classification of image representations, with a color-based identification tool to distinguish between multiple human subjects. Simple descriptors sets were evaluated to optimize recognition rate and performance and two dimensional (2D) descriptors were found to be effective. These sets installed on the latest phones can recognize human actions in videos in less than one second with a success rate of over 82%.
机译：这项工作的目的是提出一种基于视觉的人体动作识别系统，该系统适用于受约束的嵌入式设备，例如智能电话。基本上，基于视觉的人类动作识别是特征跟踪，描述符提取和图像表示的后续分类的结合，以及基于颜色的识别工具，可以区分多个人类对象。评估了简单的描述符集以优化识别率和性能，发现二维（2D）描述符有效。最新手机上安装的这些装置可以在不到一秒钟的时间内识别视频中的人为动作，成功率超过82％。

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