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» An Ethics For The New Surveillance
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ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ICIP
2009
IEEE
14 years 8 months ago
Scale-robust Feature Extraction For Face Recognition
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...
IWINAC
2009
Springer
14 years 2 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...
AVSS
2008
IEEE
14 years 2 months ago
Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms
In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors...
Juan Carlos San Miguel, José María M...
ICPR
2008
IEEE
14 years 2 months ago
Scale invariant face recognition using probabilistic similarity measure
In video surveillance, the size of face images is very small. However, few works have been done to investigate scale invariant face recognition. Our experiments on appearance-base...
Zhifei Wang, Zhenjiang Miao