2D Hand Tracking Based on Flocking with Obstacle Avoidance
Hand gesture-based interaction provides a natural and powerful means for human-computer interaction. It is also a good interface for human-robot interaction. However, most of the existing proposals are likely to fail when they meet some skin-coloured objects, especially the face region. In this pape...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-02-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.5772/57450 |
| _version_ | 1819110076802138112 |
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| author | Zihong Chen Lingxiang Zheng Yuqi Chen Yixiong Zhang |
| author_facet | Zihong Chen Lingxiang Zheng Yuqi Chen Yixiong Zhang |
| author_sort | Zihong Chen |
| collection | DOAJ |
| description | Hand gesture-based interaction provides a natural and powerful means for human-computer interaction. It is also a good interface for human-robot interaction. However, most of the existing proposals are likely to fail when they meet some skin-coloured objects, especially the face region. In this paper, we present a novel hand tracking method which can track the features of the hand based on the obstacle avoidance flocking behaviour model to overcome skin-coloured distractions. It allows features to be split into two groups under severe distractions and merge later. The experiment results show that our method can track the hand in a cluttered background or when passing the face, while the Flocking of Features (FoF) and the Mean Shift Embedded Particle Filter (MSEPF) methods may fail. These results suggest that our method has better performance in comparison with the previous methods. It may therefore be helpful to promote the use of the hand gesture-based human-robot interaction method. |
| first_indexed | 2024-12-22T03:35:58Z |
| format | Article |
| id | doaj.art-1828d47e53a3488cada47f2538c1927d |
| institution | Directory Open Access Journal |
| issn | 1729-8814 |
| language | English |
| last_indexed | 2024-12-22T03:35:58Z |
| publishDate | 2014-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-1828d47e53a3488cada47f2538c1927d2022-12-21T18:40:23ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-02-011110.5772/5745010.5772_574502D Hand Tracking Based on Flocking with Obstacle AvoidanceZihong Chen0Lingxiang Zheng1Yuqi Chen2Yixiong Zhang3 School of Information Science and Engineering, Xiamen University, Xiamen, China School of Information Science and Engineering, Xiamen University, Xiamen, China School of Information Science and Engineering, Xiamen University, Xiamen, China School of Information Science and Engineering, Xiamen University, Xiamen, ChinaHand gesture-based interaction provides a natural and powerful means for human-computer interaction. It is also a good interface for human-robot interaction. However, most of the existing proposals are likely to fail when they meet some skin-coloured objects, especially the face region. In this paper, we present a novel hand tracking method which can track the features of the hand based on the obstacle avoidance flocking behaviour model to overcome skin-coloured distractions. It allows features to be split into two groups under severe distractions and merge later. The experiment results show that our method can track the hand in a cluttered background or when passing the face, while the Flocking of Features (FoF) and the Mean Shift Embedded Particle Filter (MSEPF) methods may fail. These results suggest that our method has better performance in comparison with the previous methods. It may therefore be helpful to promote the use of the hand gesture-based human-robot interaction method.https://doi.org/10.5772/57450 |
| spellingShingle | Zihong Chen Lingxiang Zheng Yuqi Chen Yixiong Zhang 2D Hand Tracking Based on Flocking with Obstacle Avoidance International Journal of Advanced Robotic Systems |
| title | 2D Hand Tracking Based on Flocking with Obstacle Avoidance |
| title_full | 2D Hand Tracking Based on Flocking with Obstacle Avoidance |
| title_fullStr | 2D Hand Tracking Based on Flocking with Obstacle Avoidance |
| title_full_unstemmed | 2D Hand Tracking Based on Flocking with Obstacle Avoidance |
| title_short | 2D Hand Tracking Based on Flocking with Obstacle Avoidance |
| title_sort | 2d hand tracking based on flocking with obstacle avoidance |
| url | https://doi.org/10.5772/57450 |
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