Resolving Motion Correspondence for Densely Moving Points

By Cor J. Veenman, Marcel J. T. Reinders, Eric Backer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001

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A Review of Data Fusion Techniques (2013, background): “For example, in the case of the MHT algorithm, specific parameters must be established that are nontrivial to determine and are very sensitive [73].”
Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics (2005, background): “to improving frame-to-frame tracking of multiple particles in three-dimensional (3-D) sequences [5], [6], dealing with problems such as occlusions, split or merge of particles, achieving real-time performance [7], or tracking out-of-focus particles”
Object tracking: A survey (2006, methodology): “The deterministic methods use qualitative motion heuristics [Veenman et al. 2001] to constrain the correspondence problem.”
Intelligent multi-camera video surveillance: A review (2013, methodology): “…appearance cues have to been integrated with spatio-temporal reasoning (Alexander and Lucchesi , xxxx; Huang and Russell, 1997; Pasula et al., 1999; Veenman et al., 2001; Javed et al., 2003; Shafique and Shah, 2003; Morariu and Camps, 2006; Jiang et al., 2007; Song and Roy-Chowdhury, 2008; Hamid…”