Multiple Hypothesis Tracking for Cluttered Biological Image Sequences

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A benchmark for comparison of cell tracking algorithms (2014, methodology): “Bearing this in mind, we organized the first Cell Tracking Challenge (http://www.codesolorzano.com/celltrackingchallenge) hosted by the 2013 IEEE International Symposium on Biomedical Imaging (ISBI 2013, http://www.biomedicalima-ging.org/2013/).”
Joint Probabilistic Data Association Revisited (2015, methodology): “Within computer vision, applications of multi-target tracking are exemplified by the tasks of surveillance of a crowd of pedestrians [5, 25, 28, 29, 33, 44], and of tracking dense cellular and sub-cellular structures in biological sequences [11, 35] (Fig.”