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» Mean-Shift-Based Color Tracking in Illuminance Change
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ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi
ICPR
2010
IEEE
13 years 3 months ago
Discriminant and Invariant Color Model for Tracking under Abrupt Illumination Changes
The output from a color imaging sensor, or apparent color, can change considerably due to illumination conditions and scene geometry changes. In this work we take into account the...
Jorge Scandaliaris, Alberto Sanfeliu
ICPR
2000
IEEE
13 years 9 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...
IVC
2007
188views more  IVC 2007»
13 years 5 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
AVBPA
2003
Springer
134views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Robust Face-Tracking Using Skin Color and Facial Shape
This paper proposes a robust face tracking algorithm based on the CONDENSATION algorithm that uses skin color and facial shape as observation measures. Two independent trackers are...
Hyung-Soo Lee, Daijin Kim, Sang-Youn Lee