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M. Motro

4 papers here

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.RO1
  • eess.SP1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedScaling Data Association for Hypothesis-Oriented MHT

2 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.RO2019

Vehicular Multi-object Tracking with Persistent Detector Failures

Michael Motro, Joydeep Ghosh

Autonomous vehicles often perceive the environment by feeding sensor data to a learned detector algorithm, then feeding detections to a multi-object tracker that models object moti…

eess.SP2019★ 2 cited

Scaling Data Association for Hypothesis-Oriented MHT

Michael Motro, Joydeep Ghosh

Multi-hypothesis tracking is a flexible and intuitive approach to tracking multiple nearby objects. However, the original formulation of its data association step is widely thought…

cs.CV2018

Measurement-wise Occlusion in Multi-object Tracking

Michael Motro, Joydeep Ghosh

Handling object interaction is a fundamental challenge in practical multi-object tracking, even for simple interactive effects such as one object temporarily occluding another. We…

stat.ML2017★ 2 cited

Optimal Alarms for Vehicular Collision Detection

Michael Motro, Joydeep Ghosh, Chandra Bhat

An important application of intelligent vehicles is advance detection of dangerous events such as collisions. This problem is framed as a problem of optimal alarm choice given pred…

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