Sciweavers

97 search results - page 11 / 20
» Background Modeling and Subtraction of Dynamic Scenes
Sort
View
CVPR
2008
IEEE
16 years 1 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
ICASSP
2010
IEEE
14 years 12 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu
ICIP
2009
IEEE
14 years 9 months ago
K-means based segmentation for real-time zenithal people counting
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Up...
Borislav Antic, Dragan Letic, Dubravko Culibrk, Vl...
AVSS
2009
IEEE
15 years 6 months ago
A model change detection approach to dynamic scene modeling
—In this work we propose a dynamic scene model to provide information about the presence of salient motion in the scene, and that could be used for focusing the attention of a pa...
Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, ...
ICIP
2001
IEEE
16 years 1 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville