Name
Abstract | ||
|---|---|---|
Joint advent of affordable color and depth sensors and super-realtime skeleton detection, has produced a surge of research on Human Motion Capture. They provide a very important key to communication between Man and Machine. But the design was willing and closed-loop interaction, which allowed approximations and mandates a particular sensor setup. In this paper, we present a multiple sensor-based approach, designed to augment the robustness and precision of human joint positioning, based on delayed logic and filtering, of skeleton detected on each sensor. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02895-8_12 | ACIVS |
Keywords | Field | DocType |
kalman filter,delayed logic,kinect,data fusion,motion capture,human posture reconstruction | Motion capture,Computer vision,Computer science,Filter (signal processing),Sensor fusion,Robustness (computer science),Kalman filter,Human motion,Artificial intelligence,Skeleton (computer programming) | Conference |
Volume | ISSN | Citations |
8192 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 16 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Thomas Masse | 1 | 1 | 0.70 |
| Frédéric Lerasle | 2 | 112 | 21.59 |
| Michel Devy | 3 | 542 | 71.47 |
| André Monin | 4 | 5 | 2.24 |
| Olivier Lefebvre | 5 | 1 | 0.36 |
| Stéphane Mas | 6 | 1 | 0.36 |