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» Video Objects Segmentation by Robust Background Modeling
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ICPR
2008
IEEE
14 years 2 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
ICASSP
2011
IEEE
12 years 11 months ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
CVPR
2006
IEEE
14 years 10 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
PAMI
2007
194views more  PAMI 2007»
13 years 7 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
ICCV
2009
IEEE
3166views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Detection and Removal of Chromatic Moving Shadows in Surveillance Scenarios
Segmentation in the surveillance domain has to deal with shadows to avoid distortions when detecting moving objects. Most segmentation approaches dealing with shadow detection are ...
Ivan Huerta, Michael Holte, Thomas Moeslund, and J...