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CVIU
2006
162views more  CVIU 2006»
13 years 5 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
CIARP
2004
Springer
13 years 10 months ago
Use of Context in Automatic Annotation of Sports Videos
The interpretation by a human of a scene in video material is heavily influenced by the context of the scene. As a result, researchers have recently made more use of context in th...
Ilias Kolonias, William J. Christmas, Josef Kittle...
CIVR
2004
Springer
200views Image Analysis» more  CIVR 2004»
13 years 10 months ago
HMM Model Selection Issues for Soccer Video
There has been a concerted effort from the Video Retrieval community to develop tools that automate the annotation process of Sports video. In this paper, we provide an in-depth i...
Mark Baillie, Joemon M. Jose, Cornelis Joost van R...
AMDO
2008
Springer
13 years 7 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
CIVR
2009
Springer
257views Image Analysis» more  CIVR 2009»
13 years 12 months ago
Trajectory-based handball video understanding
This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...