| 基于主成分分析法的窗口自适应粒子滤波算法 |
| |
| 引用本文： | 李权,赵勋杰,彭青艳,邹薇,张雪松.基于主成分分析法的窗口自适应粒子滤波算法[J].红外与激光工程,2014,43(10):3474-3479. |
| |
| 作者姓名： | 李权 赵勋杰 彭青艳 邹薇 张雪松 |
| |
| 作者单位： | 1.苏州大学 物理科学与技术学院,江苏 苏州 215006; |
| |
| 基金项目： | 江苏省高校自然科学基金(BK2009116)；国防科技重点实验室基金 |
| |
| 摘 要： | 传统的窗口固定的粒子滤波跟踪算法在运动目标尺度发生明显变化时不能有效地跟踪目标。针对这一问题,提出了一种跟踪窗口尺寸和方向自适应变化的粒子滤波跟踪方法。该方法将主成分分析法引入到粒子滤波框架中,通过分析目标区域内像素值的协方差矩阵得到包含目标区域取向和尺寸信息的椭圆跟踪窗口。实验结果表明,该跟踪算法能自适应于目标区域形状的变化,在目标尺寸和方向发生变化时能很好地跟踪和确定目标区域。
|
| 关 键 词： | 粒子滤波 主成分分析法 协方差矩阵 特征值 自适应窗口 |
| 收稿时间： | 2014-02-08 |
Windows adaptive particle filter algorithm based on principal component analysis |
| |
| Li Quan,Zhao Xunjie,Peng Qingyan,Zou Wei,Zhang Xuesong.Windows adaptive particle filter algorithm based on principal component analysis[J].Infrared and Laser Engineering,2014,43(10):3474-3479. |
| |
| Authors: | Li Quan Zhao Xunjie Peng Qingyan Zou Wei Zhang Xuesong |
| |
| Affiliation: | 1.School of Physical Science and Technology,Soochow University,Suzhou 215006,China;2.Science and Technology on Electro-optical Security Laboratory,Yanjiao 065201,China |
| |
| Abstract: | An adaptive bandwidth object tracking method based on particle filter was proposed. Classic Particle Filter based tracking algorithm uses fixed kernel-bandwidth, as the scale changes obviously, the target may not be tracked effectively. So the principal component analysis method was introduced into the particle filtering framework to analysis the covariance matrix of the pixels within the target region. Then the most ideal tracking window including target direction and scale can be calculated. The experimental results show that the method can be adaptive to the variation of local structure of the target, moreover, spatial location and scale are good. |
| |
| Keywords: | particle filter principal component analysis covariance matrix characteristic value adaptive windows |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《红外与激光工程》浏览原始摘要信息 |
|
点击此处可从《红外与激光工程》下载全文 |
|
