An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System
We propose an adaptive and robust superpixel based hand gesture tracking system, in which hand gestures drawn in free air are recognized from their motion trajectories. First we employed the motion detection of superpixels and unsupervised image segmentation to detect the moving target hand using th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/849069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849691959411605504 |
|---|---|
| author | Hong-Min Zhu Chi-Man Pun |
| author_facet | Hong-Min Zhu Chi-Man Pun |
| author_sort | Hong-Min Zhu |
| collection | DOAJ |
| description | We propose an adaptive and robust superpixel based hand gesture tracking system, in which hand gestures drawn in free air are recognized from their motion trajectories. First we employed the motion detection of superpixels and unsupervised image segmentation to detect the moving target hand using the first few frames of the input video sequence. Then the hand appearance model is constructed from its surrounding superpixels. By incorporating the failure recovery and template matching in the tracking process, the target hand is tracked by an adaptive superpixel based tracking algorithm, where the problem of hand deformation, view-dependent appearance invariance, fast motion, and background confusion can be well handled to extract the correct hand motion trajectory. Finally, the hand gesture is recognized by the extracted motion trajectory with a trained SVM classifier. Experimental results show that our proposed system can achieve better performance compared to the existing state-of-the-art methods with the recognition accuracy 99.17% for easy set and 98.57 for hard set. |
| format | Article |
| id | doaj-art-b41a9ab10a6a4fd38cd167aacf0cad14 |
| institution | DOAJ |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b41a9ab10a6a4fd38cd167aacf0cad142025-08-20T03:20:51ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/849069849069An Adaptive Superpixel Based Hand Gesture Tracking and Recognition SystemHong-Min Zhu0Chi-Man Pun1Department of Computer and Information Science, University of Macau, MacauDepartment of Computer and Information Science, University of Macau, MacauWe propose an adaptive and robust superpixel based hand gesture tracking system, in which hand gestures drawn in free air are recognized from their motion trajectories. First we employed the motion detection of superpixels and unsupervised image segmentation to detect the moving target hand using the first few frames of the input video sequence. Then the hand appearance model is constructed from its surrounding superpixels. By incorporating the failure recovery and template matching in the tracking process, the target hand is tracked by an adaptive superpixel based tracking algorithm, where the problem of hand deformation, view-dependent appearance invariance, fast motion, and background confusion can be well handled to extract the correct hand motion trajectory. Finally, the hand gesture is recognized by the extracted motion trajectory with a trained SVM classifier. Experimental results show that our proposed system can achieve better performance compared to the existing state-of-the-art methods with the recognition accuracy 99.17% for easy set and 98.57 for hard set.http://dx.doi.org/10.1155/2014/849069 |
| spellingShingle | Hong-Min Zhu Chi-Man Pun An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System The Scientific World Journal |
| title | An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System |
| title_full | An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System |
| title_fullStr | An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System |
| title_full_unstemmed | An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System |
| title_short | An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System |
| title_sort | adaptive superpixel based hand gesture tracking and recognition system |
| url | http://dx.doi.org/10.1155/2014/849069 |
| work_keys_str_mv | AT hongminzhu anadaptivesuperpixelbasedhandgesturetrackingandrecognitionsystem AT chimanpun anadaptivesuperpixelbasedhandgesturetrackingandrecognitionsystem AT hongminzhu adaptivesuperpixelbasedhandgesturetrackingandrecognitionsystem AT chimanpun adaptivesuperpixelbasedhandgesturetrackingandrecognitionsystem |