CORC  > 厦门大学  > 信息技术-已发表论文
2d hand tracking based on flocking with obstacle avoidance
Chen, Zihong ; Zheng, Lingxiang ; Chen, Yuqi ; Zhang, Yixiong ; Zheng LX(郑灵翔) ; Zhang YX(张贻雄)
刊名http://dx.doi.org/10.5772/57450
2014
关键词Collision avoidance Human robot interaction Man machine systems
英文摘要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. ? 2014 The Author(s).
语种英语
出版者INTECH EUROPE
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92918]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Chen, Zihong,Zheng, Lingxiang,Chen, Yuqi,et al. 2d hand tracking based on flocking with obstacle avoidance[J]. http://dx.doi.org/10.5772/57450,2014.
APA Chen, Zihong,Zheng, Lingxiang,Chen, Yuqi,Zhang, Yixiong,郑灵翔,&张贻雄.(2014).2d hand tracking based on flocking with obstacle avoidance.http://dx.doi.org/10.5772/57450.
MLA Chen, Zihong,et al."2d hand tracking based on flocking with obstacle avoidance".http://dx.doi.org/10.5772/57450 (2014).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace