Record Details

Automatic illumination correction for scene enhancement and object tracking

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Automatic illumination correction for scene enhancement and object tracking
 
Creator NAYAK, A
CHAUDHURI, S
 
Subject color constancy algorithms
illumination correction
skin color
contrast transfer
neural network
condensation tracker
fuzzy c-means clustering
 
Description An important challenge for any vision system is to accommodate varying illumination conditions. We device an automatic correction scheme that transforms images under some unknown illumination to match an illumination model learnt for a known illumination. We test the scheme on both color and gray level imaging scenarios. Skin color based hand tracking is our reference problem for testing the scheme in color imaging scenario. An automatically extracted palm region from initial frames in the sequence serves as an observed skin color palette. During training phase a feed-forward neural network learns the weights that map the observed palette to a pre-stored (target) skin color palette. The pre-stored palette represents ideal illumination conditions where the tracker gives reliable results. The look up table so generated then enhances skin regions in successive frames of the image sequence, thus improving the performance of the tracker. This approach enables a reliable tracking of hand in image sequences with wide variations in illumination. In order to defining correspondence between source and target palettes, a fuzzy c-means clustering scheme is used to segment images into regions. The histograms of matching clusters are used to transfer the contrast in poorly illuminated images to enhance the contrast. (c) 2006
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-24T10:54:41Z
2011-12-26T12:52:24Z
2011-12-27T05:36:59Z
2011-07-24T10:54:41Z
2011-12-26T12:52:24Z
2011-12-27T05:36:59Z
2006
 
Type Article
 
Identifier IMAGE AND VISION COMPUTING, 24(9), 949-959
0262-8856
http://dx.doi.org/10.1016/j.imavis.2006.02.017
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6402
http://hdl.handle.net/10054/6402
 
Language en