ASCMN database

Author: Faculté Polytechnique de Mons

Partner: No




Total: 25

Ratings: 10


24 videos (5 classes: Abnormal, Surveillance, Crowd, Moving, Noise) / 10 observers per video. No specific task was asked to the viewers. The eye-tracker raw data sampled at the frame rate of each video are provided.


The dataset can be downloaded from the webpage: Link: Direct link to the ZIP file: Link:

Broken link!

The original link was:

References and Citation

If you use the database, please cite this reference [RMC12].


  • RMC12: N. Riche, M. Mancas, D. Ćulibrk, V. Ćrnojevic, B. Gosselin, T. Dutoit, Dynamic saliency models and human attention: a comparative study on videos, Proceedings of the 11th Asian Conference on Computer Vision (ACCV), Daejeon, Korea, November 5-9.