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AVSS
2006
IEEE
13 years 9 months ago
Multimedia Surveillance and Monitoring
Most surveillance and monitoring systems nowadays utilize multiple types of sensors. However, due to the asynchrony among and diversity of sensors, information assimilation how to...
Mohan S. Kankanhalli
AVSS
2006
IEEE
13 years 9 months ago
Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction
This paper presents the implementation of a video segmentation unit used for embedded automated video surveillance systems. Various aspects of the underlying segmentation algorith...
Hongtu Jiang, Viktor Öwall, Håkan Ard&o...
AVSS
2006
IEEE
13 years 9 months ago
"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression
In the interest of 24-7 long-term surveillance, a truly robust, adaptive, and fast background-foreground segmentation technique is required. This paper deals with the especially d...
Anup Doshi, Mohan M. Trivedi
AVSS
2006
IEEE
13 years 9 months ago
On Person Authentication by Fusing Visual and Thermal Face Biometrics
Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising in achieving invariance to extreme illumination changes that are often present...
Ognjen Arandjelovic, Riad I. Hammoud, Roberto Cipo...
AVSS
2006
IEEE
13 years 9 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...
AVSS
2006
IEEE
13 years 9 months ago
An Online Discriminative Approach to Background Subtraction
We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that ...
Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Cae...
AVSS
2006
IEEE
13 years 9 months ago
Human Face Reconstruction Using Bayesian Deformable Models
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to fit a set of range points representing a face. The...
George Mamic, Clinton Fookes, Sridha Sridharan
AVSS
2006
IEEE
13 years 9 months ago
A Multi-Class Tracker Using a Scalable Condensation Filter
Tracking systems are typically targeted towards tracking a single class of object. In many real world situations, and in the ETISEO evaluation, it is advantageous to be able to tr...
Simon Denman, Vinod Chandran, Sridha Sridharan, Cl...
AVSS
2006
IEEE
13 years 9 months ago
Combined 2D/3D Face Recognition Using Log-Gabor Templates
The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this pape...
Jamie Cook, Chris McCool, Vinod Chandran, Sridha S...