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ECCV
2010
Springer
13 years 7 months ago
Segmenting Salient Objects from Images and Videos
Abstract. In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The propo...
Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkil...
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 10 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 7 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
13 years 11 months ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu
AVSS
2007
IEEE
14 years 1 months ago
On the effect of motion segmentation techniques in description based adaptive video transmission
This paper presents the results of analysing the effect of different motion segmentation techniques in a system that transmits the information captured by a static surveillance ca...
Juan Carlos San Miguel, José María M...