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» Robust background estimation for complex video sequences
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ICASSP
2010
IEEE
13 years 8 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
ICRA
1998
IEEE
121views Robotics» more  ICRA 1998»
13 years 12 months ago
Real-Time Estimation of Dominant Motion in Underwater Video Images for Dynamic Positioning
In this paper, we propose a 2D visual motion estimation method which can be exploited to achieve a dynamic positioning (eg. by gaze control) with respect to a sea-bottom area of i...
Fabien Spindler, Patrick Bouthemy
ICIP
2007
IEEE
14 years 9 months ago
Robust Focused Image Estimation from Multiple Images in Video Sequences
In this paper, we propose a novel technique for estimating focused image sequences captured by an out-of-focus camera. The basic concept used in the proposed algorithm employs mul...
Junlan Yang, Dan Schonfeld, Magdi A. Mohamed
ICIP
2006
IEEE
14 years 9 months ago
Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator
This paper deals with motion estimation and segmentation in video sequences. Some methods of motion computation between two consecutive frames of a video sequence are based on the...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
ISVC
2009
Springer
14 years 2 months ago
Robust Estimation of Camera Motion Using Optical Flow Models
Abstract. The estimation of camera motion is one of the most important aspects for video processing, analysis, indexing, and retrieval. Most of existing techniques to estimate came...
Jurandy Almeida, Rodrigo Minetto, Tiago A. Almeida...