TY - GEN
T1 - Outlier Detection in Object Counting based on Hue and Distance Transform using Median Absolute Deviation (MAD)
AU - Fitriyah, Hurriyatul
AU - Budi, Agung Setia
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Object counting based on image data has been developed in many research. It is fast, automatic and noncontact solution that is applied in health, microbiology, object tracking, robotics and industry. During the counting, object that differs from majority object might be presented in a frame. This outlier object should be detected and not be counted. This study present an algorithm to detect outliers in object counting based on color and shape information. The color was based on Hue whilst the shape was based on distance transform. Both features were chosen as it is invariant to position and rotation in plane. Outlier detection utilized Median Absolute Deviation (MAD) on Histograms of both features. The testing shows promising result (accuracy of 94.3%) in 35 images with simple background.
AB - Object counting based on image data has been developed in many research. It is fast, automatic and noncontact solution that is applied in health, microbiology, object tracking, robotics and industry. During the counting, object that differs from majority object might be presented in a frame. This outlier object should be detected and not be counted. This study present an algorithm to detect outliers in object counting based on color and shape information. The color was based on Hue whilst the shape was based on distance transform. Both features were chosen as it is invariant to position and rotation in plane. Outlier detection utilized Median Absolute Deviation (MAD) on Histograms of both features. The testing shows promising result (accuracy of 94.3%) in 35 images with simple background.
KW - distance transform
KW - hue
KW - median absolute deviation
KW - object counting
KW - outlier detection
UR - https://www.scopus.com/pages/publications/85080126257
U2 - 10.1109/SIET48054.2019.8985993
DO - 10.1109/SIET48054.2019.8985993
M3 - Conference contribution
AN - SCOPUS:85080126257
T3 - Proceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019
SP - 217
EP - 222
BT - Proceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019
Y2 - 28 September 2019 through 30 September 2019
ER -