# Escheee/TBCF

Tracking Benchmark for Correlation Filters

Repository: https://github.com/Escheee/TBCF
Canonical: https://ross.abutalabs.com/products/tbcf
Language: Objective-C
License Family: other
Topics: visual-tracking, correlation-filters, benchmark
Last push: 2017-11-30T15:32:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3425, "days_push": 3198, "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 1142, forks 325 (observed 2026-08-28T04:03:44.836220+00:00)

## What it is
A benchmark repository collecting and sharing results, papers, and code for correlation filter-based visual object trackers. It provides performance plots on standard OTB datasets and links to implementations of trackers like MOSSE, CSK, KCF, and Staple.

## Use cases
- compare correlation filter tracker performance on OTB
- find implementations of visual tracking algorithms
- benchmark my tracker against baselines
- research correlation filter-based object tracking
- get OTB2013 and OTB100 result plots

## When to choose
- you need reference results for correlation filter trackers
- you are surveying or comparing visual tracking methods
- you want quick access to tracker papers and code

## When to avoid
- you need deep learning based trackers like SiamFC
- you need a maintained actively updated benchmark
- you need UAV123 or other non-OTB dataset results

## Facets
- artifact type: dataset
- maturity: maintenance
- function: computer-vision, benchmarking, image-processing
- domain: computer-vision, machine-learning
- platform: cross-platform
- tags: visual-tracking, correlation-filters, object-tracking, otb-benchmark, research, algorithms

## Member repositories
- Escheee/TBCF (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.836220+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 2026-08-30T06:34:59.615350+00:00, confidence not recorded.
  - readme: https://github.com/Escheee/TBCF (fetched 2026-08-28T04:03:44.836220+00:00, sha c8e51b4da44a)
- Data as of 2026-08-30T08:39:29.467469+00:00.