Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video
Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video
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DOI：
10.1016/j.imavis.2010.08.013
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发表时间：
2011-02
期刊：
影响因子：
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通讯作者：
Peter Dunne;B. Matuszewski
中科院分区：
文献类型：
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作者：
Peter Dunne;B. Matuszewski
在灰度闭路电视视频目标跟踪的背景下，考虑了粒子滤波、不相似距离测度和似然函数的选择。回顾了Bhattacharyya系数和距离的几何解释，并检验了Bhattacharyya、Matusita、直方图交集和χ2距离之间的关系。有人认为，只要似然函数满足某些标准，其分析形式在所述跟踪上下文中并不重要。在粒子滤波跟踪序列中，使用标准的Bhattacharyya距离/高斯似然组合和可能计算更简单的直方图相交距离/三角形似然组合之间的实验比较证明了这一点。结果表明，当应用似然准则时，方法之间的差异是微乎其微的。虽然分析集中在一个特定的应用和背景，我们认为，这些发现将是有价值的粒子过滤器跟踪一般。
The choice of particle filter dissimilarity distance measures and likelihood functions is considered in the context of object tracking in grey scale CCTV video. The geometrical interpretation of the Bhattacharyya coefficient and distance is reviewed and the relationships between the Bhattacharyya, Matusita, histogram intersection and χ2distances are examined. It is argued that as long as the likelihood function satisfies certain criteria its analytical form is not critical in the stated tracking context. This is demonstrated through an experimental comparison between the use of the standard Bhattacharyya distance/Gaussian likelihood combination and the potentially computationally simpler histogram intersection distance/triangular likelihood combination in particle filter tracking sequences. It is shown that the differences between the approaches are marginal when the likelihood criteria are applied. Whilst the analysis was focused on a specific application and context, we suggest that the findings will be of value to particle filter tracking in general.