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中文摘要：
这份报纸论述一个粒子有联机特征选择机制的基于过滤器的视觉追踪方法。在基于颜色的粒子过滤器算法，粒子的重量总是不正确地代表重要性，这目标基于粒子追踪过滤的原因可以收敛到目标的一个本地区域。在我们的建议视觉追踪的方法，在目标和背景之间的 Bhattacharyya 距离和本地辨别被用来定义粒子的重量，它能解决存在本地集中问题。实验证明建议方法能不仅在追踪过程的单个目标而且在追踪过程的多重类似的目标工作很好。
英文摘要：
This paper presents a particle filter-based visual tracking method with online feature selection mechanism. In color-based particle filter algorithm the weights of particles do not always represent the importance correctly, this may cause that the object tracking based on particle filter converge to a local region of the object. In our proposed visual tracking method, the Bhattacharyya distance and the local discrimination between the object and background are used to define the weights of the particles, which can solve the existing local convergence problem. Experiments demonstrates that the proposed method can work well not only in single object tracking processes but also in multiple similar objects tracking processes.
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Modified static anti-windup for saturated systems with sector-bounded and slope-restricted nonlinear
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