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» Video Objects Segmentation by Robust Background Modeling
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185
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ICASSP
2009
IEEE
16 years 1 months ago
Motion-based object segmentation using local background sprites
It is well known that video material with a static background allows easier segmentation than that with a moving background. One approach to segmentation of sequences with a movin...
Andreas Krutz, Alexander Glantz, Thilo Borgmann, M...
218
Voted
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
16 years 16 days ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
193
Voted
ICCV
2007
IEEE
16 years 8 months ago
Moving Object Extraction with a Hand-held Camera
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving ...
Guofeng Zhang, Jiaya Jia, Wei Xiong, Tien-Tsin Won...
WACV
2005
IEEE
15 years 12 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
175
Voted
ICIP
2003
IEEE
16 years 8 months ago
Robust moving video object segmentation in the MPEG compressed domain
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a moti...
Xiao-Dong Yu, Ling-Yu Duan, Qi Tian