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» Detecting Irregularities in Images and in Video
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JMM2
2006
218views more  JMM2 2006»
13 years 7 months ago
Automatic Recognition of Facial Actions in Spontaneous Expressions
Spontaneous facial expressions differ from posed expressions in both which muscles are moved, and in the dynamics of the movement. Advances in the field of automatic facial express...
Marian Stewart Bartlett, Gwen Littlewort, Mark G. ...
VR
2008
IEEE
277views Virtual Reality» more  VR 2008»
13 years 6 months ago
Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time sys...
Taehee Lee 0002, Tobias Höllerer
ICCV
2007
IEEE
14 years 9 months ago
Learning to Find Object Boundaries Using Motion Cues
While great strides have been made in detecting and localizing specific objects in natural images, the bottom-up segmentation of unknown, generic objects remains a difficult chall...
Andrew N. Stein, Derek Hoiem, Martial Hebert
FGR
2011
IEEE
205views Biometrics» more  FGR 2011»
12 years 11 months ago
High resolution face sequences from a PTZ network camera
Abstract— We propose here to acquire high resolution sequences of a person’s face using a pan-tilt-zoom (PTZ) network camera. This capability should prove helpful in forensic a...
Thang Ba Dinh, Nam Vo, Gérard G. Medioni
CVPR
2003
IEEE
14 years 9 months ago
Evaluation of Local Models of Dynamic Backgrounds
Background subtraction is the first step of many video surveillance applications. What is considered background varies by application, and may include regular, systematic, or comp...
Robert Pless, John Larson, Scott Siebers, Ben West...