Kinematic Feature for Classifying Larvae: Aedes Larvae and Culex Larvae
WT Sesulihatien, DBM Yuana… - 2020 International …, 2020 - ieeexplore.ieee.org
2020 International Electronics Symposium (IES), 2020•ieeexplore.ieee.org
This paper deals with Larvae detection. There are 2 larvae in a similar genre, physically
similar, but one larva (Aedes) is a vector of dangerous dengue fever, while Culex is not.
Kinematic feature: velocity and acceleration, are employed to distinguish them. Video data of
120 samples are analyzed. The process consists of optical flow for image analysis, velocity
and acceleration of motion for drawing the pattern, deviation standard for classifying, and
Web-GIS user interface for displaying the result. The accuracy of the system is 91.6%.
similar, but one larva (Aedes) is a vector of dangerous dengue fever, while Culex is not.
Kinematic feature: velocity and acceleration, are employed to distinguish them. Video data of
120 samples are analyzed. The process consists of optical flow for image analysis, velocity
and acceleration of motion for drawing the pattern, deviation standard for classifying, and
Web-GIS user interface for displaying the result. The accuracy of the system is 91.6%.
This paper deals with Larvae detection. There are 2 larvae in a similar genre, physically similar, but one larva (Aedes) is a vector of dangerous dengue fever, while Culex is not. Kinematic feature: velocity and acceleration, are employed to distinguish them. Video data of 120 samples are analyzed. The process consists of optical flow for image analysis, velocity and acceleration of motion for drawing the pattern, deviation standard for classifying, and Web-GIS user interface for displaying the result. The accuracy of the system is 91.6%.
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