TY - GEN
T1 - Compensating for camera translation in video eye movement recordings by tracking a landmark selected automatically by a genetic algorithm
AU - Karmali, Faisal
AU - Shelhamer, Mark
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - We develop a method for accurately estimating the motion of a camera relative to a highly deformable surface, specifically the movement of a camera relative to the eye. A small rectangular landmark is selected and tracked throughout a set of video frames as a measure of vertical camera translation. The specific goal is to present a process based on a genetic algorithm that selects a suitable landmark. We find that co-correlation, a statistic relating the time series of a large population of landmarks, is a robust predictor of the accuracy of the landmarks. This statistic is used to iteratlvely select the best landmark from the population. At each iteration new landmarks are created that inherit properties of the previous population of landmarks. We show that the algorithm can select a landmark that will estimate camera translation with an accuracy of 1.8 pixels, which means that the direction the eye is looking can be determined with an accuracy of better than 0.6°.
AB - We develop a method for accurately estimating the motion of a camera relative to a highly deformable surface, specifically the movement of a camera relative to the eye. A small rectangular landmark is selected and tracked throughout a set of video frames as a measure of vertical camera translation. The specific goal is to present a process based on a genetic algorithm that selects a suitable landmark. We find that co-correlation, a statistic relating the time series of a large population of landmarks, is a robust predictor of the accuracy of the landmarks. This statistic is used to iteratlvely select the best landmark from the population. At each iteration new landmarks are created that inherit properties of the previous population of landmarks. We show that the algorithm can select a landmark that will estimate camera translation with an accuracy of 1.8 pixels, which means that the direction the eye is looking can be determined with an accuracy of better than 0.6°.
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U2 - 10.1109/IEMBS.2006.259945
DO - 10.1109/IEMBS.2006.259945
M3 - Conference contribution
C2 - 17946296
AN - SCOPUS:34047123140
SN - 1424400325
SN - 9781424400324
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 5298
EP - 5301
BT - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Y2 - 30 August 2006 through 3 September 2006
ER -