Escheee/TBCF resource
Tracking Benchmark for Correlation Filters observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3425
- days_rel: n/a
- days_push: 3198
- n_releases_24m: 0
Adoption not part of the score
1142 stars · 325 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
dataset · maturity maintenance
computer-vision benchmarking image-processing computer-vision machine-learning cross-platform visual-tracking correlation-filters object-tracking otb-benchmark research algorithms
1 source
- readme: https://github.com/Escheee/TBCF · fetched 2026-08-28 · c8e51b4da44a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Escheee/TBCF | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem