People counting based on improved gauss process regression
Pages: 603 - 608
Published: Dec 1, 2017
Abstract
Ideally, in the method about people counting based on multi-feature regression, the features, such as weighted blob area and perimeter, should have a linear relationship with the number of people in the scene. However, although the overall linear trend, due to the existence of occlusion, the foreground extraction errors and other factors, the local presents nonlinear characteristics. Gauss process regression is very suitable for linear features...
Paper Details
Title
People counting based on improved gauss process regression
Published Date
Dec 1, 2017
Pages
603 - 608
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History