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

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

6 / 6 papers shown

Title
CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking Vladimir Somers Baptiste Standaert Victor Joos Alexandre Alahi Christophe De Vleeschouwer VOT 47 0 0 02 May 2025
Engineering an Efficient Object Tracker for Non-Linear Motion Momir Adzemovic Predrag Tadić Andrija Petrović Mladen Nikolic 21 1 0 30 Jun 2024
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 21 1 0 17 Jun 2024
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 161 620 0 19 Mar 2020
Towards Real-Time Multi-Object Tracking Zhongdao Wang Liang Zheng Yixuan Liu Yali Li Shengjin Wang VOT 235 844 0 27 Sep 2019
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 217 3,407 0 21 Mar 2017