<P>Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter</P>

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Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter

Article | 更新时间：2020-08-12

- Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter
- Optics and Precision Engineering Vol. 17, Issue 9, Pages: 2321-2327(2009)
- 作者机构：
  
  海军大连舰艇学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：08 December 2008，
  
  Revised：06 January 2009，
  
  Published Online：25 September 2009，
  
  Published：25 September 2009
- 稿件说明：
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李春鑫. 基于Rao-Blackwellizedli粒子滤波的多特征融合多光谱目标自适应跟踪[J]. 光学精密工程, 2009,17(9):2321-2327

Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter
[J]. Optics and precision engineering, 2009, 17(9): 2321-2327.
李春鑫. 基于Rao-Blackwellizedli粒子滤波的多特征融合多光谱目标自适应跟踪[J]. 光学精密工程, 2009,17(9):2321-2327 DOI：

Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter
[J]. Optics and precision engineering, 2009, 17(9): 2321-2327. DOI：

摘要

针对复杂背景下视频目标跟踪的实时性和可靠性问题，提出了基于Rao-Blackwellized粒子滤波的颜色矩形特征和方向边缘信息融合的自适应跟踪算法。该算法采用Rao-Blackwellized粒子滤波提高滤波算法性能，采用积分图像快速计算颜色特征和方向边缘信息，根据跟踪实际情形，利用模糊逻辑自适应调节各特征权值，提高算法的跟踪速度和精度。视频跟踪仿真试验表明该算法是稳健的，能够在复杂的背景下对可见光及红外等运动目标进行有效、可靠的跟踪。

Abstract

Aiming at the problem of real time and reliability of visual object tracking in a clutter background

an adaptive fusion of color rectangle feature and Edge Orientation Histogram tracking algorithm based on Rao-Blackwellized Particle Filter is put forward. To improve the tracking speed and precision

first

Rao-Blackwellized Particle Filter is adopted to improve the filter performance

second

integral image is used to quickly compute the color rectangle feature and Edge Orientation Histogram

finally

fuzzy logic is applied to adaptively adjust each feature weight. The simulation result illustrates the algorithm is robust and effective at visible light and infrared object tracking under complex backgrounds.

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Related Author

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Institute of Optical Communication & Optoelectronics, Beijing University of Posts & Telecommunications

Beijing Key Laboratory of Optoelectronic Measurement Technology, Beijing Information Science & Technology University

西安电子科技大学

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Adaptive multi-spectrum object tracking of multi-feature fusion based on Rao-Blackwellized particle filter

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摘要

Abstract

关键词

Keywords

references