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ICPR
2004
IEEE
14 years 8 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
ICASSP
2011
IEEE
12 years 11 months ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
CVPR
2000
IEEE
13 years 12 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
ICIP
2006
IEEE
14 years 9 months ago
Multispectral Object Segmentation and Retrieval in Surveillance Video
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information fr...
Ciarán O. Conaire, Noel E. O'Connor, Eddie ...
AVSS
2007
IEEE
14 years 1 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...