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» Combined visual attention model for video sequences
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ICCV
2009
IEEE
14 years 7 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
SSPR
2004
Springer
15 years 3 months ago
Tracking the Evolution of a Tennis Match Using Hidden Markov Models
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...
Ilias Kolonias, William J. Christmas, Josef Kittle...
ICIP
2008
IEEE
15 years 11 months ago
Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
CRV
2007
IEEE
232views Robotics» more  CRV 2007»
15 years 4 months ago
Automatic Annotation of Humans in Surveillance Video
In this paper we present a system for automatic annotation of humans passing a surveillance camera. Each human has 4 associated annotations: the primary color of the clothing, the...
D. M. Hansen, Bjarne K. Mortensen, P. T. Duizer, J...
ICIP
2004
IEEE
15 years 11 months ago
Model-based MPEG compression of synthetic video sequences
The paper addresses the problem of improving the MPEG compression of synthetic video sequences by exploiting the knowledge about the original 3D model. Two techniques are proposed...
Davide Quaglia, Angelo Gattuso