The Community for Technology Leaders
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2014)
Columbus, OH, USA
June 23, 2014 to June 28, 2014
ISSN: 2160-7516
ISBN: 978-1-4799-4308-1
pp: 393-400
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.
INDEX TERMS
Cameras, Benchmark testing, Measurement, Labeling, Lighting, Motion detection, Conferences
CITATION

Y. Wang, P. Jodoin, F. Porikli, J. Konrad, Y. Benezeth and P. Ishwar, "CDnet 2014: An Expanded Change Detection Benchmark Dataset," 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Columbus, OH, USA, 2014, pp. 393-400.
doi:10.1109/CVPRW.2014.126
189 ms
(Ver 3.3 (11022016))