@inproceedings{e0b57ab65efc4325aaecbd7855521992,
title = "CDnet 2014: An expanded change detection benchmark dataset",
abstract = "Change detection is one of the most important lowlevel tasks in video analytics. In 2012, we introduced the changedetection.net (CDnet) benchmark, a video dataset devoted to the evalaution 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 DetectionWorkshop 2014. We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.",
author = "Yi Wang and Jodoin, {Pierre Marc} and Fatih Porikli and Janusz Konrad and Yannick Benezeth and Prakash Ishwar",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 ; Conference date: 23-06-2014 Through 28-06-2014",
year = "2014",
month = sep,
day = "24",
doi = "10.1109/CVPRW.2014.126",
language = "English",
series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
publisher = "IEEE Computer Society",
pages = "393--400",
booktitle = "Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014",
address = "United States",
}