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» Robust Bayesian Mixture Modelling
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AVSS
2005
IEEE
14 years 3 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing textu...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
PAMI
2007
191views more  PAMI 2007»
13 years 9 months ago
Adaptive Object Tracking Based on an Effective Appearance Filter
We propose a similarity measure based on a Spatial-color Mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based o...
Hanzi Wang, David Suter, Konrad Schindler, Chunhua...
ACCV
2010
Springer
13 years 5 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
BMVC
2010
13 years 8 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
ISIPTA
2003
IEEE
117views Mathematics» more  ISIPTA 2003»
14 years 3 months ago
Dynamic Programming for Discrete-Time Systems with Uncertain Gain
We generalise the optimisation technique of dynamic programming for discretetime systems with an uncertain gain function. We assume that uncertainty about the gain function is des...
Gert de Cooman, Matthias C. M. Troffaes