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Our real-time system has good robustness against different lighting conditions and head poses, and it provides visually convincing and natural results while relying only on a single webcam that can be positioned almost anywhere around the screen.
The limited visual access of a webcam is an opportunity to negotiate the degree of such “in-groupness.”
Due to this, it has to be robust recognizing gestures in webcam standard quality images.
We present experimental results demonstrating robust real-time 3D motion capture with a consumer computer and webcam.
Our homemade webcam system is comparable in function to the more elaborate video trainer but superior to the dual mirror trainer.
Open accessProceedings ArticleDOI
07 Mar 2016
1.1K Citations
Furthermore, our tool is capable of real-time performance and is able to run from a simple webcam without any specialist hardware.
These methods work well, but require high quality of the webcam images.
Results demonstrated that webcam invigilation can be an uncomfortable experience and that cheating on webcam-invigilated examinations is possible.
Proceedings ArticleDOI
Yuh-Rau Wang, Wei-Hung Lin, Ling Yang 
03 Jun 2013
19 Citations
The experimental results show that the proposed method can detect hands in real time with low computing consumption under up to 3 meters of the distance between webcam and hand.