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The aim of this paper is to propose a unified tracking framework using particle filters to efficiently switch between visual tracking (field of view tracking) and track prediction (nonoverlapping region tracking).


However, particle filters are not used in practice for these applications mainly because they cannot satisfy realtime requirements.


There are many applications in which particle filters outperform traditional signal processing algorithms.


Design and Implementation of Flexible Resampling Mechanism for HighSpeed Parallel Particle Filters


The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequences.

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 State estimation of hybrid system, which consists of discrete state estimation and continuous state estimation, is a critical issue in hybrid system study. Utilizing the advantage of particle filter, which can estimate the discrete and continuous states simultaneously, we propose a new approach for monitoring and diagnosing of hybrid system. After giving the derivation of algorithm and design steps, we discuss the issues arising from algorithm implementation and propose an improved algorithm. The result... State estimation of hybrid system, which consists of discrete state estimation and continuous state estimation, is a critical issue in hybrid system study. Utilizing the advantage of particle filter, which can estimate the discrete and continuous states simultaneously, we propose a new approach for monitoring and diagnosing of hybrid system. After giving the derivation of algorithm and design steps, we discuss the issues arising from algorithm implementation and propose an improved algorithm. The result of simulation shows the feasibility of particle filter in hybrid system monitoring and diagnosing, and it also demonstrates that the proposed improved algorithm can achieve better result.  利用粒子滤波算法具有同时估计连续状态和离散状态的特点 ,提出一种可用于混合系统状态监测与诊断的新方法 .给出了该方法的理论推导和设计步骤 ,讨论了在诊断应用中粒子滤波器所遇到的问题 ,并给出了改善的措施 .仿真结果证明用粒子滤波器对混合系统进行监测与诊断是可行的 ,所提的方法对估计结果有比较好的改善 .  Colorbased probabilistic tracking has been proved robust and versatile within a probabilistic framework,relying on the principle of color histogram distance.The use of particle filter in the structure allow people to better handle color clutter in the background,as well as complete occlusion of the tracked entities over a few frames.But the building of too many histograms at each timestep becomes the bottleneck that increases the computational cost drastically.To address this problem,we present a new... Colorbased probabilistic tracking has been proved robust and versatile within a probabilistic framework,relying on the principle of color histogram distance.The use of particle filter in the structure allow people to better handle color clutter in the background,as well as complete occlusion of the tracked entities over a few frames.But the building of too many histograms at each timestep becomes the bottleneck that increases the computational cost drastically.To address this problem,we present a new approach to calculate color histograms.By building fiducial research region and segmenting it into several subregions at time t+1 based on tracker output at time t ,we calculate color histograms of the subregions and save them.Then we find the same region out between fiducial research subregions and the research region of every particle so that the histogram of the part will not be accounted for again.Experiments show computational cost can be reduced over half.  针对基于彩色的概率跟踪中每一时间步每一个像点都要计算彩色直方图导致计算代价大大增加这一瓶颈问题,提出了一种减少直方图搜索区域从而提高计算效率的方法。根据前一帧中跟踪器的输出,在当前帧中建立一个基准窗口,并将其分割成若干个相等的子窗口,分别计算出它们的彩色直方图。然后根据像点滤波中不同像点的搜索区域与基准窗口的相对关系,找出重叠部分,从而可以利用该部分已知的子窗口的直方图而无需重复计算,只需计算不同部分即可,实验结果表明,该方法使计算量减少了50%以上。  An algorithm was developed to analyze qualitative measurement signals obtained in engineering test for hybrid state estimation to extract exact quantitative information at specified instants in time. A hybrid states estimation approach was then developed using both this extracted quantitative information and the continuous measurement signals. Previous model for state estimates have rarely been accurate. The state estimates were improved with the quantitative information acquired from qualitative signals usingan... An algorithm was developed to analyze qualitative measurement signals obtained in engineering test for hybrid state estimation to extract exact quantitative information at specified instants in time. A hybrid states estimation approach was then developed using both this extracted quantitative information and the continuous measurement signals. Previous model for state estimates have rarely been accurate. The state estimates were improved with the quantitative information acquired from qualitative signals usingan evolutionary particle filter to estimate imprecise model parameters. Simulation results demonstrate the feasibility of the proposed approaches for hybrid state and parameter estimates with both approaches taking full advantage of the qualitative information.  为了利用实际工程中常可获得的各种测量信号,该文分析定性信号的特点,在某些时刻提取出定量信息,给出将所提取出的定量信息与连续测量信号共同用于混合系统状态估计的方法。同时,针对用于状态估计的模型难以避免误差的情形,在定性信号提取出的定量信息帮助状态估计的前提下,提出一种基于进化粒子滤波的方法,估计模型中存在误差的参数。仿真结果表明,该文提出的混合状态与参数估计方法是有效的,可以充分利用所获得的定性信号。   << 更多相关文摘 
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