1 results listed
– In this study, real-time online mine detection unde r
water is performed using an unmanned underwater vehicle.
According to the underwater position of the vehicle, the data
from the vehicle camera is used to identify mine in a real-time
video stream. Here is an approach for underwater mine detection
based on the use of trained classifiers. Algorithm performance i n
real time video shooting of the vehicle is optimized to reduce false
positive rate by aiming to identify a mine segment of each picture
frame. According to the results obtained, it was ensured that
mine parts are successfully detected under changing conditions
with incorrect positive detection. Algorithms are developed using
the Python program.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
M.BERİK
Seda Karadeniz Kartal