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» Super-Resolution on Moving Objects and Background
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PAMI
2012
13 years 3 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
76
Voted
ICCV
2003
IEEE
16 years 1 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»
15 years 5 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»
16 years 4 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»
15 years 4 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