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20162020
most citedMulti-Object Tracking with Multiple Birth, Death, and Spawn Scenarios Using A Randomized Hypothesis Generation Technique (R-FISST)

6 citations · 7 across the 5 of their papers we have counts for

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eess.SY2016★ 6 cited

Multi-Object Tracking with Multiple Birth, Death, and Spawn Scenarios Using A Randomized Hypothesis Generation Technique (R-FISST)

W. Faber, S. Chakravorty, Islam I. Hussein

In multi-object tracking one may encounter situations were at any time step the number of possible hypotheses is too large to generate exhaustively. These situations generally occu…

math.ST2016

Multi-Target Tracking Using A Randomized Hypothesis Generation Technique

W. Faber, S. Chakravorty, Islam I. Hussein

In this paper, we present a randomized version of the finite set statistics (FISST) Bayesian recursions for multi-object tracking problems. We propose a hypothesis level derivation…