Moving Object Detection Laboratory, ICAR-CNR

Stopped Object Detection Sequences

This page has been created in order to make available

- the image sequence Binders used for testing of the Stopped Foreground Subtraction (SFS) algorithm and the 3D Self-Organizing Background Subtraction (3D_SOBS) algorithm presented in [1];

- the Technical Report [2] (pdf, 2050KB), cited in [1] as Reference [44].

Sequence: Binders

The Binders sequence is an indoor sequence consisting of 638 frames of 320 240 spatial resolution, specifically designed for showing the results achieved by the SFS algorithm [1]. The scene consists of an office, where a person first leaves a green binder on a desk, then leaves a red binder, and, after that, leaves a blue book in front of the red binder. After a while, the person picks up the green binder, passing it in front of the two stopped items, then picks up in turn also the blue book and the red binder.

Download the sequence here (67014KB rar file containing 1638 PPM images).

If you have problems downloading, please contact lucia.maddalena "at"; if use them, please cite our work [1].


[1] L. Maddalena, A. Petrosino, Stopped Object Detection by Learning Foreground Model in Videos, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2013.2242092, vol.24, no.5, pp.723-735, May 2013.

[2] L. Maddalena, A. Petrosino, Further experimental results with 3D_SOBS algorithm for moving object detections, Dept. Applied Sci., Univ. Naples Parthenope, Naples, Italy, Tech. Rep. RT-DSAUNIPARTHENOPE-12-01, 2012.

Last update: December 6, 2017.