Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
By Ismail Haritaoglu. 2002
603 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fa730dff44d817653dd3776574e45217c25c27dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yaser Sheikh
- Omar Javed
- Thierry Bouwmans
- Takeo Kanade
- Xiaogang Wang
- Mubarak Shah
- Wenguan Wang
- Jitendra Malik
Citations in the corpus
- Background Subtraction for Freely Moving Cameras (2009, methodology): “in [34], Kalman Filters for updating pixel colors in [16] and [14], Gaussian mixture models in [27], non-parametric kernel density estimates by Elgammal and Davis in [2], and the joint spatial-color model by Sheikh and Shah in [26].”