TY - GEN
T1 - Fast and accurate object tracking by succesive learning of lifting wavelet filters
AU - Ikeura, Ryuichi
AU - Takano, Shigeru
AU - Niijima, Koichi
PY - 2015/4/3
Y1 - 2015/4/3
N2 - This paper presents a novel object tracking method which uses lifting wavelet filters. Our method is based on successive learning of free parameters in a lifting filter. To realize fast learning, the free parameters are determined by solving some minimization problems using Lagrange method. The filter learned for the object in the previous frame is used as an initial filter of a new lifting filter to be learned for the object in the present frame. In simulation, human right eye in a sequence of images is tracked accurately by our method.
AB - This paper presents a novel object tracking method which uses lifting wavelet filters. Our method is based on successive learning of free parameters in a lifting filter. To realize fast learning, the free parameters are determined by solving some minimization problems using Lagrange method. The filter learned for the object in the previous frame is used as an initial filter of a new lifting filter to be learned for the object in the present frame. In simulation, human right eye in a sequence of images is tracked accurately by our method.
UR - http://www.scopus.com/inward/record.url?scp=84979877973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979877973&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979877973
T3 - European Signal Processing Conference
SP - 277
EP - 280
BT - 2004 12th European Signal Processing Conference, EUSIPCO 2004
PB - European Signal Processing Conference, EUSIPCO
T2 - 12th European Signal Processing Conference, EUSIPCO 2004
Y2 - 6 September 2004 through 10 September 2004
ER -