activity
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

collaborators
Showing eess.SYShow all

2 papers · 1 filter

eess.SY2020

A Belief Space Perspective of RFS based Multi-Target Tracking and its Relationship to MHT

S. Chakravorty, W. R. Faber, Islam I. Hussein +1

In this paper, we establish a connection between Reid{'}s HOMHT and the modern Random Finite Set (RFS)/ Finite Set Statistics (FISST) based methods for Multi-Target Tracking. We st…

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…