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PRICAI
2004
Springer
13 years 9 months ago
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Background elimination models are widely used in motion tracking systems. Our aim is to develop a system that performs reliably under adverse lighting conditions. In particular, th...
Stewart Greenhill, Svetha Venkatesh, Geoff A. W. W...
ICPR
2008
IEEE
14 years 5 months ago
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
Sargur N. Srihari, Veshnu Ramakrishnan
MM
2003
ACM
239views Multimedia» more  MM 2003»
13 years 9 months ago
Foreground object detection from videos containing complex background
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian
TIM
2010
214views Education» more  TIM 2010»
12 years 11 months ago
Image-Quality-Based Adaptive Face Recognition
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
Harin Sellahewa, Sabah Jassim
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
14 years 10 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen