mlsanityData to 7 Oct 2026

Deep MDP: A Modular Framework for Multi-Object Tracking

arXiv 2310.14294 ↗First posted 22 Oct 2023cs.CVcited by 0

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Abstract (arXiv)

This paper presents a fast and modular framework for Multi-Object Tracking (MOT) based on the Markov descision process (MDP) tracking-by-detection paradigm. It is designed to allow its various functional components to be replaced by custom-designed alternatives to suit a given application. An interactive GUI with integrated object detection, segmentation, MOT and semi-automated labeling is also provided to help make it easier to get started with this framework. Though not breaking new ground in terms of performance, Deep MDP has a large code-base that should be useful for the community to try out new ideas or simply to have an easy-to-use and easy-to-adapt system for any MOT application. Deep MDP is available at https://github.com/abhineet123/deep_mdp.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 35 of its 60 references that are in the map. First posted on arXiv 22 Oct 2023.

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35 of 60 references.

References · 35

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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  10. 2016Fully-Convolutional Siamese Networks for Object Trackingcited by 566
  11. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 546
  12. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 531
23 more
  1. 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 445
  2. 2018Deep Learning for Generic Object Detection: A Surveycited by 392
  3. 2017Soft-NMS -- Improving Object Detection With One Line of Codecited by 380
  4. 2019Learning Discriminative Model Prediction for Trackingcited by 344
  5. 2018ATOM: Accurate Tracking by Overlap Maximizationcited by 285
  6. 2016ECO: Efficient Convolution Operators for Trackingcited by 239
  7. 2020Probabilistic Regression for Visual Trackingcited by 231
  8. 2018Distractor-aware Siamese Networks for Visual Object Trackingcited by 187
  9. 2018Acquisition of Localization Confidence for Accurate Object Detectioncited by 174
  10. 2019Deeper and Wider Siamese Networks for Real-Time Visual Trackingcited by 156
  11. 2015MOTChallenge 2015: Towards a Benchmark for Multi-Target Trackingcited by 133
  12. 2015UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Trackingcited by 98
  13. 2018Deep Affinity Network for Multiple Object Trackingcited by 82
  14. 2019Online Multi-Object Tracking with Dual Matching Attention Networkscited by 77
  15. 2017Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependenciescited by 76
  16. 2019How To Train Your Deep Multi-Object Trackercited by 71
  17. 2019FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Trackingcited by 65
  18. 2019Deep Learning for Visual Tracking: A Comprehensive Surveycited by 60
  19. 2017Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanismcited by 48
  20. 2014Deformable Part Models are Convolutional Neural Networkscited by 35
  21. 2017Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Trackingcited by 18
  22. 2016A metric for sets of trajectories that is practical and mathematically consistentcited by 7
  23. 2019SiamVGG: Visual Tracking using Deeper Siamese Networkscited by 6

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