Sciweavers

43 search results - page 3 / 9
» Feature-based object modelling for visual surveillance
Sort
View
ACCV
2006
Springer
13 years 11 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter
TIP
2008
344views more  TIP 2008»
13 years 5 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
AVSS
2003
IEEE
13 years 11 months ago
A Scalable Image-Based Multi-Camera Visual Surveillance System
In this paper, we aim to achieve scalability and wider scene coverage through the use of multiple cameras in an outdoor visual surveillance system. Only image-based information is...
Ser-Nam Lim, Larry S. Davis, Ahmed M. Elgammal
JMM2
2007
148views more  JMM2 2007»
13 years 5 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...

Publication
363views
12 years 4 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong