Disclaimer
When you use this material, please cite this paper:
📝 A. Vacavant, T. Chateau, A. Wilhelm, L. Lequievre: A benchmark dataset for outdoor foreground/background extraction. BMC/ACCV 2012.
You may also read and cite those articles:
📝 A. Sobral, A. Vacavant: A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. CVIU, 122:4–21, 2014.
📝 A. Vacavant, L. Tougne, T. Chateau, L. Robinault: Evaluation of background models with synthetic and real data. In Background Modeling and Foreground Detection for Video Surveillance, 2014.
![Image](img/bg-synth2.png)
Learning videos
Those videos have been rendered by Sivic software, with complete ground truth, to test your algorithm and set the best parameters:
🎬 111 - 🎬 111_gt /
🎬 112 - 🎬 112_gt /
🎬 121 - 🎬 122_gt /
🎬 122 - 🎬 122_gt /
🎬 211 - 🎬 211_gt /
🎬 212 - 🎬 212_gt /
🎬 221 - 🎬 221_gt /
🎬 222 - 🎬 222_gt /
🎬 311 - 🎬 311_gt /
🎬 312 - 🎬 312_gt
A complete archive with all videos is available here:
🗃️ bmc_synth1.zip
Evaluation videos
More synthetic videos are provided here, with complete ground truth:
🎬321 - 🎬321_gt /
🎬 322 - 🎬 322_gt /
🎬 411 - 🎬 411_gt /
🎬 412 - 🎬 412_gt /
🎬 421 - 🎬 421_gt /
🎬 422 - 🎬 422_gt /
🎬 511 - 🎬 511_gt /
🎬 512 - 🎬 512_gt /
🎬 521 - 🎬 521_gt /
🎬 522 - 🎬 522_gt
You will also find real long videos in hard contexts, with partial annotations only (see img folder in archives):
🎬 001 -
🎬 002 -
🎬 003 -
🎬 004 -
🎬 005 -
🎬 006 -
🎬 007 -
🎬 008 -
🎬 009
Complete archives with all videos are available there:
🗃️ bmc_synth2.zip - 🗃️ bmc_real.zip
![Image](img/bg-real2.png)