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227
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ICASSP
2011
IEEE
14 years 10 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
159
Voted
ICIP
2008
IEEE
16 years 7 months ago
Saliency based objective quality assessment of decoded video affected by packet losses
In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The ...
Xin Feng, Tao Liu, Dan Yang, Yao Wang
ICIP
2006
IEEE
16 years 7 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ICIP
2005
IEEE
16 years 7 months ago
Detection of semantic objects using description graphs
This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a Description Graph. Classes are defined as combinat...
Ferran Marqués, Xavier Giro
131
Voted
ICIP
2005
IEEE
16 years 7 months ago
Watershed-driven active contours for moving object segmentation
In this paper we address the problem of video segmentation. We propose a new method which combines an active contour and a watershed presegmentation. We first apply active contour...
Annabelle Gouze, Cedric De Roover, Benoit M. Macq,...