ML Anthology

CDnet 2014: An Expanded Change Detection Benchmark Dataset

Yi Wang, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar
CVPRW 2014 pp. 393-400
doi:10.1109/CVPRW.2014.126 /cvprw/2014/wang2014cvprw-cdnet/

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.

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Cite

Text

Wang et al. "CDnet 2014: An Expanded Change Detection Benchmark Dataset." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.126

Markdown

[Wang et al. "CDnet 2014: An Expanded Change Detection Benchmark Dataset." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/wang2014cvprw-cdnet/) doi:10.1109/CVPRW.2014.126

BibTeX

@inproceedings{wang2014cvprw-cdnet,
  title     = {{CDnet 2014: An Expanded Change Detection Benchmark Dataset}},
  author    = {Wang, Yi and Jodoin, Pierre-Marc and Porikli, Fatih Murat and Konrad, Janusz and Benezeth, Yannick and Ishwar, Prakash},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {393-400},
  doi       = {10.1109/CVPRW.2014.126},
  url       = {https://mlanthology.org/cvprw/2014/wang2014cvprw-cdnet/}
}