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researcher

M. Baum

9 papers hereh-index 253k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • eess.SP2
  • cs.CV1
  • cs.DB1
  • stat.ML1
same name
  • M. Baum — 6 papers, h 9
  • M. Baum — 3 papers, h 5
  • M. Baum — 1 paper, h 2
  • M. Baum — 1 paper, h 29
  • M. Baum — 1 paper, h 3
  • M. Baum — 1 paper, h 39

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122021
most citedExtended Object Tracking: Introduction, Overview and Applications

223 citations · 591 across the 9 of their papers we have counts for

collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2018★ 166 cited

Tracking the Orientation and Axes Lengths of an Elliptical Extended Object

Shishan Yang, Marcus Baum

Extended object tracking considers the simultaneous estimation of the kinematic state and the shape parameters of a moving object based on a varying number of noisy detections. A m…

eess.SY2016★ 13 cited

Second-Order Extended Kalman Filter for Extended Object and Group Tracking

Shishan Yang, Marcus Baum

In this paper, we propose a novel method for estimating an elliptic shape approximation of a moving extended object that gives rise to multiple scattered measurements per frame. Fo…

eess.SY2013★ 1 cited

Extended Object Tracking with Random Hypersurface Models

Marcus Baum, Uwe D. Hanebeck

The Random Hypersurface Model (RHM) is introduced that allows for estimating a shape approximation of an extended object in addition to its kinematic state. An RHM represents the s…

eess.SY2012★ 20 cited

The Kernel-SME Filter for Multiple Target Tracking

Marcus Baum, Uwe D. Hanebeck

We present a novel method called Kernel-SME filter for tracking multiple targets when the association of the measurements to the targets is unknown. The method is a further develop…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.