TY - GEN
T1 - Automated real time peg and tool detection for the FLS trainer box
AU - Nemani, Arun
AU - Sankaranarayanan, Ganesh
AU - De, Suvranu
PY - 2012
Y1 - 2012
N2 - This study proposes a method that effectively tracks trocar tool and peg positions in real time to allow real time assessment of the peg transfer task of the Fundamentals of Laparoscopic Surgery (FLS). By utilizing custom code along with OpenCV libraries, tool and peg positions can be accurately tracked without altering the original setup conditions of the FLS trainer box. This is achieved via a series of image filtration sequences, thresholding functions, and Haar training methods.
AB - This study proposes a method that effectively tracks trocar tool and peg positions in real time to allow real time assessment of the peg transfer task of the Fundamentals of Laparoscopic Surgery (FLS). By utilizing custom code along with OpenCV libraries, tool and peg positions can be accurately tracked without altering the original setup conditions of the FLS trainer box. This is achieved via a series of image filtration sequences, thresholding functions, and Haar training methods.
KW - FLS trainer box
KW - Haar training
KW - Laparoscopic surgery
KW - Machine vision
KW - Object tracking
UR - http://www.scopus.com/inward/record.url?scp=84860626142&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860626142&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-022-2-304
DO - 10.3233/978-1-61499-022-2-304
M3 - Conference contribution
C2 - 22357006
AN - SCOPUS:84860626142
SN - 9781614990215
T3 - Studies in Health Technology and Informatics
SP - 304
EP - 306
BT - Medicine Meets Virtual Reality 19
PB - IOS Press
T2 - Medicine Meets Virtual Reality 19: NextMed, MMVR 2012
Y2 - 9 February 2012 through 11 February 2012
ER -