.png){kind=icon}
返回
Real-time User Interface using Particle Filter with Integral Histogram
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2010.5505963.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To apply a vision technique to real-time user interface, we suggest a fast and effective method of tracking human limbs and recognizing poses, with the kinematics chain model. The proposed method is able to evaluate the observation likelihood between particle samples and reference histograms in high speed with the integral histogram. Results demonstrate that using the integral histogram is faster than the existing color histogram method as evidenced by the increase in the number and size of samples. In addition, robust results are realized during evaluation involving overlapping objects. The proposed user interface system is ideally suited for gaming devices that utilize user gestures and poses as control input in real-time. Experiments for the real-time game demonstrate the robustness of the proposed method(1).
Keyword:
pose recognition
object tracking
particle filter
integral histogram
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
机构
引用论文
Multi-arm Trial of Inflammatory Signal Inhibitors (MATIS) for hospitalised patients with mild or moderate COVID-19 pneumonia: a structured summary of a study protocol for a randomised controlled trial.png)
Trials
OAAI
TrialsIF0
OAAI分享收藏 没有更多内容
没有更多内容