Tracking dynamic textures using a particle filter driven by intrinsic motion information

被引:0
|
作者
Renaud Péteri
机构
[1] University of La Rochelle,Mathematics, Image and Applications Laboratory (MIA)
来源
Machine Vision and Applications | 2011年 / 22卷
关键词
Dynamic textures; Intrinsic motion; Tracking; Particle filtering; Condensation algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a new method for tracking dynamic textures is presented. Its novelty is to use a particle filter driven by the intrinsic motion of the tracked dynamic texture. Many research works have indeed shown that dynamic textures are well characterized by their intrinsic motion (in proceedings of 4th international conference on computer recognition systems CORES’05, pp. 17–26, 2005). In this work, we compute motion statistics of dynamic textures and use them in the observation model of our particle filter. Our tracking method is successfully applied on test sequences. The algorithm is fast and is able to track a dynamic texture moving on another dynamic texture with different intrinsic dynamics. The method is also able to track a dynamic texture in cases where classical particle filters based on color information only fail. Comments and future prospects raised by this method are finally described.
引用
收藏
页码:781 / 789
页数:8
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