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» Super-Resolution on Moving Objects and Background
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PAMI
2012
11 years 9 months ago
Simultaneous Video Stabilization and Moving Object Detection in Turbulence
Turbulence mitigation refers to the stabilization of videos with non-uniform deformations due to the influence of optical turbulence. Typical approaches for turbulence mitigation ...
Omar Oreifej, Xin Li, and Mubarak Shah
ICCV
2003
IEEE
14 years 7 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
13 years 12 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
14 years 10 months 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
ISCAS
2003
IEEE
145views Hardware» more  ISCAS 2003»
13 years 11 months ago
Automatic moving object extraction in MPEG video
In this paper, we propose a moving object extraction technique for MPEG coded data directly. It is a changebased motion object extraction approach, which discriminates background ...
Wei Zeng, Wen Gao, Debin Zhao