Sciweavers

84 search results - page 3 / 17
» Improved Gaussian Mixture Models for Adaptive Foreground Seg...
Sort
View
TCSV
2010
14 years 11 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
ECCV
2004
Springer
16 years 6 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
DAGM
2005
Springer
15 years 10 months ago
Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM
Abstract. A vision based head tracking approach is presented, combining foreground information with an elliptical head model based on the integration of gradient and skin-color inf...
Alexander Barth, Rainer Herpers
GI
2007
Springer
15 years 10 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
ICCV
2011
IEEE
14 years 4 months ago
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...