TY - GEN
T1 - Algorithm Comparisons among Space Time Volume Velocimetry, Horn-Schunk, and Lucas-Kanade for the Analysis of Water Surface Velocity Image Sequences
AU - Sirenden, Bernadus H.
AU - Arymurthy, Aniati Murni
AU - Mursanto, Petrus
AU - Wijonarko, Sensus
PY - 2019/10
Y1 - 2019/10
N2 - Performance of three optical flow algorithm variants has been evaluated to obtain the most optimal measurement for water surface velocity. The algorithms are Space Time Volume Velocimetry (STVV), Horn-Schunk (HS) and Lucas-Kanade (LK). The algorithms were applied to the same video of waterflow, whose direction was rotated by 0°, 90°, 180°, and 270°. Since the water velocity in the video are unknown, the evaluation parameter is varian of estimated water velocity and their repoducibility when the direction of water flow is changed. The results show that the STVV had the smaalest varian 7% to 13%, HS is 11% to 41 % and LK is 17% to 30%. However, the STVV has the most disadvantages compared to the other two methods in terms of reproduciblity when the direction of water flow is changed. The reproducibility of STVV result when using En number as testing method could reach 1,7 while HS and LK is 0 for all experiment.
AB - Performance of three optical flow algorithm variants has been evaluated to obtain the most optimal measurement for water surface velocity. The algorithms are Space Time Volume Velocimetry (STVV), Horn-Schunk (HS) and Lucas-Kanade (LK). The algorithms were applied to the same video of waterflow, whose direction was rotated by 0°, 90°, 180°, and 270°. Since the water velocity in the video are unknown, the evaluation parameter is varian of estimated water velocity and their repoducibility when the direction of water flow is changed. The results show that the STVV had the smaalest varian 7% to 13%, HS is 11% to 41 % and LK is 17% to 30%. However, the STVV has the most disadvantages compared to the other two methods in terms of reproduciblity when the direction of water flow is changed. The reproducibility of STVV result when using En number as testing method could reach 1,7 while HS and LK is 0 for all experiment.
KW - Horn-Schunk
KW - Lucas-Kanade
KW - Optical Flow
KW - Space Time Volume Velocimetry
KW - Water Velocity
UR - http://www.scopus.com/inward/record.url?scp=85078864900&partnerID=8YFLogxK
U2 - 10.1109/IC3INA48034.2019.8949591
DO - 10.1109/IC3INA48034.2019.8949591
M3 - Conference contribution
T3 - 2019 International Conference on Computer, Control, Informatics and its Applications: Emerging Trends in Big Data and Artificial Intelligence, IC3INA 2019
SP - 47
EP - 52
BT - 2019 International Conference on Computer, Control, Informatics and its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2019
Y2 - 23 October 2019 through 24 October 2019
ER -