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» Practical Super-Resolution from Dynamic Video Sequences
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ICVGIP
2004
14 years 11 months ago
Markerless Motion Capture from Monocular Videos
We present a method to determine the 3D spatial locations of joints of a human body from a monocular video sequence of a Bharatanatyam dance. The proposed method uses domain speci...
Vishal Mamania, Appu Shaji, Sharat Chandran
CLOR
2006
15 years 1 months ago
3D Object Modeling and Recognition from Photographs and Image Sequences
This chapter proposes a representation of rigid three-dimensional (3D) objects in terms of local affine-invariant descriptors of their images and the spatial relationships between ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
ICES
2010
Springer
217views Hardware» more  ICES 2010»
14 years 8 months ago
Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO
In this paper, we describe the GPU implementation of a markerless full-body articulated human motion tracking system from multi-view video sequences acquired in a studio environmen...
Luca Mussi, Spela Ivekovic, Stefano Cagnoni
ICPR
2004
IEEE
15 years 11 months ago
Super-Resolving Compressed Video with Large Artifacts
We propose methods to super-resolve compressed video sequences that may consist of frames with missing blocks of pixels in addition to compression artifacts. Different from tradit...
Wen-Yi Zhao
ICIP
2008
IEEE
15 years 11 months ago
Learning action dictionaries from video
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Pavan K. Turaga, Rama Chellappa