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
Journal
Pages
603 - 608
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