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On the effect of data contamination for multitarget tracking, part II
This paper deals with the probabilistic data association issue in the context of multiple target tracking. In the continuation of the part I framework, we focus here on scenarios where multiple false measurements may occur. In particular, the influence of various critical parameters on the multi-tracking efficiency, i.e. the probability of correct association, is analyzed. Besides, we study the impact of the tracking scenario, including a large number of misassociations.
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