Communications of the ACM
Scientists Develop Method to Track Human Movements More Accurately
Credit: Disney
Researchers at the North China Institute of Aerospace Engineering, Hefei University of Technology in China, and the University of North Texas (UNT) have developed a data-driven method to better detect and track human movements for use in a wide range of technologies.
The researchers wanted to address the tracking of human subject movement with high accuracy and consistency, going beyond simply tracking a person or a car in a surveillance video or tracking the pose of a person to estimate their actions. They used a time-of-flight camera and a three-dimensional (3D) point cloud to identify five extreme points on the human body; after those points are marked, then the joints can be identified.
"Given that our depth-imaging device can acquire only surface data of a 3D volume, a detected extreme point could become invisible after an action, [such as] rotation, which makes the consistency of detection critical," says UNT professor Xiaohui Yuan.
From Chinese Association of Automation
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