Comparative study of background subtraction algorithms

By Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, christophe Rosenberger. J. Electronic Imaging, 2010

362 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e5d634ac3e29959df80cd333c74904151428ffa7

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

1. Deyu Meng
2. Zongben Xu
3. Qian Zhao
4. Ming-Hsuan Yang
5. Fatih Murat Porikli
6. Luc Van Gool
7. Qi Xie
8. Pierre-Marc Jodoin

Citations in the corpus

• Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery (2018, background): “Typical examples include face modeling [47], [60], gene categorization [54], image/video compressive sensing [3], [10], user interest prediction [20], signal restoration [47], [68], [75], etc.”
• CDnet 2014: An Expanded Change Detection Benchmark Dataset (2014, methodology): “We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.”
• Changedetection.net: A new change detection benchmark dataset (2012, methodology): “net and typical detection results obtained using basic background subtraction [4] reported in the last row of Table 1.”