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» Practical Super-Resolution from Dynamic Video Sequences
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ICVGIP
2004
13 years 9 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
13 years 11 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»
13 years 5 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
14 years 8 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
14 years 9 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