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» On-Line Adaptive Background Modelling for Audio Surveillance
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ICPR
2004
IEEE
14 years 6 months ago
On-Line Adaptive Background Modelling for Audio Surveillance
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the surveillance, which extends the more investigated area of video surveillance, can be ...
Marco Cristani, Manuele Bicego, Vittorio Murino
ICPR
2006
IEEE
14 years 6 months ago
Unifying Background Models over Complex Audio using Entropy
In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio...
Geoff A. W. West, Simon Moncrieff, Svetha Venkates...
CVPR
2010
IEEE
13 years 10 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
COST
2009
Springer
205views Multimedia» more  COST 2009»
13 years 8 months ago
Ergodic HMM-UBM System for On-Line Signature Verification
Abstract. We propose a novel approach for on-line signature verification based on building HMM user models by adapting an ergodic Universal Background Model (UBM). State initializa...
Enrique Argones-Rúa, David Pérez-Pi&...
ECCV
2004
Springer
14 years 6 months ago
Audio-Video Integration for Background Modelling
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
Marco Cristani, Manuele Bicego, Vittorio Murino