AVSS
2006
IEEE
2006
IEEE
"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression
14 years 5 months ago
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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 ...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object c...
AVSS
2006
IEEE
14 years 5 months ago
2006
IEEE
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...