# noahcao/OC_SORT

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

Repository: https://github.com/noahcao/OC_SORT
Canonical: https://ross.abutalabs.com/products/oc_sort
Language: Python
License: MIT
License Family: permissive
Topics: tracking, computer-vision, deep-learning, object-detection, object-tracking
Last push: 2026-04-21T23:31:34+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 35, longevity 100
- inputs: {"age_days": 1625, "days_push": 134, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1131, forks 154 (observed 2026-08-28T04:03:42.435889+00:00)

## What it is
OC-SORT is a pure motion-model-based multi-object tracker for video, improving on SORT by fixing Kalman filter limitations to handle occlusion and non-linear motion. It is simple, online, and real-time, with a flexible design that integrates with different detectors and appearance-based matching modules.

## Use cases
- track multiple objects in video in real time
- improve tracking robustness in crowded scenes
- handle non-linear object motion in tracking
- track objects through occlusions
- plug a tracker into different object detectors
- benchmark a tracker on MOT17, MOT20, or DanceTrack

## When to choose
- you need a simple, online, real-time multi-object tracker without heavy appearance models
- your scenes involve occlusion or non-linear motion
- you want a well-cited CVPR 2023 tracker with Python and C++ support

## When to avoid
- you need appearance-based re-identification as a first-class feature (consider Deep OC-SORT)
- you need a full tracking framework with training pipelines rather than a tracker
- you need a non-PyTorch deep learning stack

## Facets
- artifact type: library
- maturity: stable
- function: computer-vision, machine-learning, deep-learning
- domain: computer-vision, machine-learning, deep-learning
- platform: python, cpp, windows
- tags: multi-object-tracking, sort, kalman-filter, pytorch, cvpr2023, video-tracking, object-detection, linux, macos

## Member repositories
- noahcao/OC_SORT (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.435889+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 2026-08-30T06:38:03.516683+00:00, confidence not recorded.
  - readme: https://github.com/noahcao/OC_SORT (fetched 2026-08-28T04:03:42.435889+00:00, sha e463dccf80f5)
- Data as of 2026-08-30T08:39:29.467469+00:00.