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Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object
  Tracking

Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking

15 February 2024
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
ArXiv (abs)PDFHTML

Papers citing "Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking"

3 / 3 papers shown
Title
CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking
CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking
Vladimir Somers
Baptiste Standaert
Victor Joos
Alexandre Alahi
Christophe De Vleeschouwer
VOT
365
3
0
02 May 2025
Engineering an Efficient Object Tracker for Non-Linear Motion
Engineering an Efficient Object Tracker for Non-Linear Motion
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
168
2
0
30 Jun 2024
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep
  Features, Harmonic Mean, and Expansion IOU
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU
Matias Gran-Henriksen
Hans Andreas Lindgaard
Gabriel Kiss
Frank Lindseth
109
3
0
17 Jun 2024
1