CDnet 2014: An Expanded Change Detection Benchmark Dataset

Yi Wang, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, pp. 387-394

Abstract


Change detection is one of the most important low-level tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video dataset devoted to the evaluation of change and motion detection approaches. Here, we present the latest release of the CDnet dataset, which includes 22 additional videos (~70,000 pixel-wise annotated frames) spanning 5 new categories that incorporate challenges encountered in many surveillance settings. We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change Detection Workshop 2014. We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.

Related Material


[pdf]
[bibtex]
@InProceedings{Wang_2014_CVPR_Workshops,
author = {Wang, Yi and Jodoin, Pierre-Marc and Porikli, Fatih and Konrad, Janusz and Benezeth, Yannick and Ishwar, Prakash},
title = {CDnet 2014: An Expanded Change Detection Benchmark Dataset},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2014}
}