Real-time human body tracking based on data fusion from multiple RGB-D sensors

• Published in: Multimedia tools and applications Vol. 76; no. 3; pp. 4249 - 4271
• Main Authors: Núñez, Juan C., Cabido, Raúl, Montemayor, Antonio S., Pantrigo, Juan J.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2017; Springer Nature B.V
• Subjects: Algorithms; Cameras; Computer Communication Networks; Computer Science; Computer vision; Data integration; Data Structures and Information Theory; Devices; Frames per second; Human body; Methods; Movement; Multimedia; Multimedia communications; Multimedia Information Systems; Position tracking; Sensors; Smoothness; Special Purpose and Application-Based Systems; Studies; Tracking; United States > US; RGBD sensors; Sensor fusion; Human body tracking

In this work we present a human pose estimation method based on the skeleton fusion and tracking using multiple RGB-D sensors. The proposed method considers the skeletons provided by each RGB-D device and constructs an improved skeleton, taking into account the quality measures provided by the senso...