Ross ROSS = Recommend OSS · open-source software intelligence for agents

luanshiyinyang/awesome-multiple-object-tracking resource

Resources for Multiple Object Tracking (MOT) observed · 2026-08-28

github.com/luanshiyinyang/awesome-multiple-object-tracking observed · 2026-08-28

Health v2 · maintenance only

52/100

  • Activity 45
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2265
  • days_rel: n/a
  • days_push: 330
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1483 stars · 186 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of resources for Multiple Object Tracking (MOT), including review and algorithm papers, datasets, metrics, benchmark results, toolboxes, and courses. It focuses on online tracking methods and is actively maintained with papers through 2025.

Use cases

  • find papers on multiple object tracking
  • learn about MOT algorithms and state of the art
  • find datasets for training multi-object tracking models
  • compare MOT benchmark results on MOT16/MOT17/MOT20
  • find toolboxes for object tracking research
  • get started with multi-object tracking research

When to choose

  • you are researching or surveying multi-object tracking methods
  • you need a starting point of papers, datasets, and benchmarks for MOT
  • you want to track the latest MOT publications by year

When to avoid

  • you need a ready-to-run tracking implementation rather than a resource list
  • you need single-object tracking or offline/batch tracking methods
  • you need production computer vision software

Facets

learning-resource · maturity active

computer-vision machine-learning computer-vision machine-learning awesome-lists cross-platform awesome-list multiple-object-tracking mot curated-resources papers datasets benchmarks

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="luanshiyinyang/awesome-multiple-object-tracking")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem