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CVIU
2006
222views more  CVIU 2006»
13 years 8 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICCV
1999
IEEE
14 years 10 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
ICIP
2009
IEEE
13 years 6 months ago
Modeling of image shutters and motion blur in analog and digital camera systems
For motion imaging the perceived smoothness of a sequence highly depends on motion blur. The exposure for each frame is started and ended with a shutter mechanism. There are diffe...
Michael Schöberl, Siegfried Fößel,...
ICMCS
2007
IEEE
122views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Generating Video Sequence from Photo Image for Mobile Screens by Content Analysis
To bridge the gap between the high resolution digital images and limited display capability of mobile devices, this paper proposes a method to automatically transform static image...
Shuqiang Jiang, Huiying Liu, Zhao Zhao, Qingming H...
PAMI
2006
193views more  PAMI 2006»
13 years 8 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...