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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 1 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ACIVS
2008
Springer
14 years 1 months ago
Crowd Behavior Recognition for Video Surveillance
Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Shobhit Saxena, François Brémond, Mo...
ICPR
2008
IEEE
14 years 1 months ago
Spatio-temporal patches for night background modeling by subspace learning
In this paper, a novel background model on spatio-temporal patches is introduced for video surveillance, especially for night outdoor scene, where extreme lighting conditions ofte...
Youdong Zhao, Haifeng Gong, Liang Lin, Yunde Jia
ICAPR
2001
Springer
13 years 11 months ago
A Neural Multi-expert Classification System for MPEG Audio Segmentation
The current research efforts in the field of video parsing and analysis are mainly focused on the use of pictorial information, while neglecting an important supplementary source ...
Massimo De Santo, Gennaro Percannella, Carlo Sanso...
ISMAR
2003
IEEE
14 years 11 days ago
Fully Automated and Stable Registration for Augmented Reality Applications
We present a fully automated approach to camera registration for Augmented Reality systems. It relies on purely passive vision techniques to solve the initialization and realtime ...
Vincent Lepetit, Luca Vacchetti, Daniel Thalmann, ...