1) multi-camera human body tracking
多摄像机人体运动跟踪
2) multiple camera tracking
多摄像机跟踪
3) Camera auto-tracing
摄像机自动跟踪
4) camera tracking
摄像机跟踪
1.
This paper presents a camera tracking algorithm based on the statistics of feature blocks,it can be used to track the movement of camera in video files.
提出一种基于特征块统计的摄像机跟踪算法,可用于视频中摄像机运动的快速跟踪和定位。
2.
It is new way to design the camera tracking system in image identity, In this way through shooting the image of ceiling ,assistant camera that fasten the main camera computes the position parameters of the main camera.
从新的角度提出了采用图像分析识别方法的摄像机跟踪技术 ,提出了以天花板为参照 ,通过固连在主摄像机上的辅助摄像机拍摄天花板的图像来测得摄像机的位置参数。
3.
For these reasons, this thesis mainly focuses on how to recover and reuse the motion and 3D information from the real captured video data, including camera tracking, dense depth recovery, optical flow estimation, and video segmentation.
总体而言,本论文主要贡献如下:·提出了一个高效鲁棒的基于视频序列的摄像机跟踪技术框架。
5) human motion tracking
人体运动跟踪
1.
A improved particle-filer based algorithm for human motion tracking;
基于改进粒子滤波算法的人体运动跟踪
2.
In markerless human motion tracking,the reconstructed human motion pose has great difference from the ground-truth value due to the absence of obvious markers and complex background.
在无标记人体运动跟踪过程中,由于被跟踪目标缺乏明显的特征以及背景复杂而使得跟踪到的人体运动姿态与真实值偏差较大,不能进行长序列视频跟踪。
3.
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
提出一种无标记点的步态参数提取方法,采用基于模型的人体运动跟踪方法,无须标记点即可从视频图像序列中获取运动步态参数。
补充资料：人体运动学
见运动生物力学。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条