In order to improve the accuracy of small‐range human motion recognition in video and the
computational efficiency of large‐scale data sets, a multi‐dimensional data model of motion …

This paper proposes a camera placement framework that incorporates characteristics of
complex construction jobsites. The proposed framework consists of three main processes:(1) …

The accuracy of monocular 3D human pose estimation depends on the viewpoint from
which the image is captured. While freely moving cameras, such as on drones, provide …

Abstract The Leap Motion controller (LMC) offers a low-cost means of markerless hand
tracking, however, its utility is limited by a small field of view and reliance on appropriate …

With the advancement of sensor technology, distributed processing technology, and
wireless communication, Visual Sensor Networks (VSNs) are widely used. However, VSNs …

Motion capture (MoCap) technology, essential for biomechanics and motion analysis, faces
challenges from data loss due to occlusions and technical issues. Traditional recovery …

One of the most widely used motion capture (MoCap) methods depends on retroreflective
markers placed on an object. Through cameras, the MoCap system captures the moving …

Motion capture systems are a must-have part of a modern research laboratory. The system
has a wide area of applications such as movie, sport, medicine or experiments validations …

The letter presents a novel solution to determine exposure and threshold values for cameras
in motion capture systems without excessive interaction with the user. The solution is based …

Computer vision recognition refers to the use of cameras and computers to replace the
human eyes with computer vision, such as target recognition, tracking, measurement, and in …