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» Background estimation from non-time sequence images
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CVIU
2010
267views more  CVIU 2010»
14 years 9 months ago
Accelerated hardware video object segmentation: From foreground detection to connected components labelling
This paper demonstrates the use of a single-chip FPGA for the segmentation of moving objects in a video sequence. The system maintains highly accurate background models, and integ...
Kofi Appiah, Andrew Hunter, Patrick Dickinson, Hon...
107
Voted
ECCV
2008
Springer
16 years 1 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
97
Voted
ACIVS
2008
Springer
15 years 1 months ago
Motion Recovery for Uncalibrated Turntable Sequences Using Silhouettes and a Single Point
Abstract. This paper addresses the problem of self-calibration and motion recovery for turntable sequences. Previous works exploited silhouette correspondences induced by epipolar ...
Hui Zhang, Ling Shao, Kwan-Yee Kenneth Wong
83
Voted
ICPR
2010
IEEE
14 years 9 months ago
Tracking Ships from Fast Moving Camera through Image Registration
This paper presents an algorithm that detects and tracks marine vessels in video taken by a non-stationary camera installed on an untethered buoy. 1 The video is characterized by ...
Sergiy Fefilatyev, Dmitry B. Goldgof, Chad Lembke
ICIP
2005
IEEE
15 years 5 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi