Performance evaluation of object detection algorithms for video surveillance
By Jacinto Carlos Nascimento, Jorge S. Marques. IEEE transactions on multimedia, 2006
318 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/da5b8b9e5408ef44f5c7f61ee0e617ed6acce0b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Thierry Bouwmans
- Pierre-Marc Jodoin
- Fatih Murat Porikli
- Janusz Konrad
- Prakash Ishwar
- Yi Wang
- Yannick Benezeth
- Nil Goyette
Citations in the corpus
- Changedetection.net: A new change detection benchmark dataset (2012, methodology): “• Nascimento andMarques, 2006 [16] use a single PETS 2011 video sequence which they manually label at pixel resolution using a graphical editor.”
- Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey (2011, methodology): “Others performance evaluation methods are proposed and compared in [35, 36].”
- CDnet 2014: An Expanded Change Detection Benchmark Dataset (2014, background): “Nascimento-Marques, 2006 [17] Contains benchmarks obtained on a single PETS 2001 video with pixel-based labeling.”
- Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey (2008, methodology): “The performance is evaluated using the ROC analysis [33] or the PDR Analysis [34] or the similarity measure [35].”