# SpyderXu/multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

Repository: https://github.com/SpyderXu/multi-object-tracking-paper-list
Canonical: https://ross.abutalabs.com/products/multi-object-tracking-paper-list
License Family: other
Topics: multi-object-tracking, code, papers
Last push: 2020-04-24T01:55:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3076, "days_push": 2323, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1683, forks 347 (observed 2026-08-28T04:05:21.794134+00:00)

## What it is
A curated list of research papers and open-source code for multi-object tracking (MOT) in computer vision, along with links to relevant datasets and benchmarks. It serves as a reference resource for researchers exploring tracking algorithms and evaluation.

## Use cases
- find papers on multi-object tracking
- find open-source MOT implementations
- discover datasets for pedestrian and vehicle tracking
- compare MOT benchmark results
- start research in object tracking
- find tracking datasets for autonomous driving

## When to choose
- surveying the multi-object tracking literature
- looking for datasets like MOT17, KITTI-Tracking, or UA-DETRAC
- finding open-source tracker code for a computer vision project

## When to avoid
- needing a ready-to-run tracking library
- requiring actively maintained code or recent papers
- needing production tracking software

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, machine-learning
- domain: computer-vision, machine-learning, awesome-lists
- platform: cross-platform
- tags: multi-object-tracking, paper-list, datasets, research, awesome-list

## Member repositories
- SpyderXu/multi-object-tracking-paper-list (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:21.794134+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:41:18.355842+00:00, confidence not recorded.
  - readme: https://github.com/SpyderXu/multi-object-tracking-paper-list (fetched 2026-08-28T04:05:21.794134+00:00, sha 019c0c8040c7)
- Data as of 2026-08-30T08:39:29.467469+00:00.