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ICASSP
2008
IEEE
13 years 10 months ago
Joint tracking and video registration by factorial Hidden Markov models
Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
Xue Mei, Fatih Murat Porikli
CVPR
2006
IEEE
14 years 6 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
CVIU
2006
162views more  CVIU 2006»
13 years 4 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
ICCV
2009
IEEE
13 years 2 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
CVPR
2007
IEEE
14 years 6 months ago
Segmental Hidden Markov Models for View-based Sport Video Analysis
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Yi Ding, Guoliang Fan