 |
MMX-Accelerated Real-Time Hand Tracking System
Liu, Nianjun and Lovell, Brian C. (2001-01-01). MMX-Accelerated Real-Time Hand Tracking System. In: IVCNZ 2001, Dunedin, New Zealand, (381-385). 26-28 November, 2001.
|
|
| |
| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
hand-paper-00.pdf
|
hand-paper-00.pdf |
application/pdf |
96.66KB |
3930 |
| Author(s) |
Liu, Nianjun
Lovell, Brian C.
|
| Title of paper |
MMX-Accelerated Real-Time Hand Tracking System
|
| Conference name |
IVCNZ 2001
|
| Conference location |
Dunedin, New Zealand
|
| Conference dates |
26-28 November, 2001
|
| Publication date |
2001-01-01
|
| Start page |
381
|
| End page |
385
|
| Abstract/Summary |
We describe a system for tracking real-time hand gestures captured by a cheap web camera and a standard Intel Pentium based personal computer with no specialized image processing
hardware. To attain the necessary processing speed, the system exploits the Multi-Media Instruction set(MMX) extensions of the Intel Pentium chip family through software including. the Microsoft
DirectX SDK and the Intel Image Processing and Open Source Computer Vision (OpenCV) libraries. The system is based on the Camshift algorithm (from OpenCV) and the compound constant acceleration
Kalman filter algorithms. Tracking is robust and efficient and can track hand motion at 30 fps.
|
| Subjects |
280000 Information, Computing and Communication Sciences
|
| Keyword(s) |
Real-Time
Camshift algorithm
Kalman filter
HSV color
Gesture Rrcognition
iris-research
|
|
|
|
