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» Tracking and Segmenting People in Varying Lighting Condition...
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FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
13 years 9 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
IVC
2000
94views more  IVC 2000»
13 years 4 months ago
Pupil detection and tracking using multiple light sources
We present a fast, robust, and low cost pupil detection technique that uses two near infra red time multiplexed light sources synchronized with the camera frame rate. The two ligh...
Carlos Hitoshi Morimoto, David Koons, Arnon Amir, ...
CVIU
2007
136views more  CVIU 2007»
13 years 4 months ago
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
A maximum a posterior probability zero disparity filter (MAP ZDF) ensures coordinated stereo fixation upon an arbitrarily moving, rotating, re-configuring hand, performing mark...
Andrew Dankers, Nick Barnes, Alexander Zelinsky
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
13 years 10 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
14 years 6 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...