Kinematic Feature for Classifying Larvae: Aedes Larvae and Culex Larvae
| Autor: | Wahjoe Tjatur Sesulihatien, Achmad Basuki, Dia Bitari Mei Yuana |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Aedes
030506 rehabilitation Larva business.industry Culex Optical flow Pattern recognition 030229 sport sciences Kinematics Biology biology.organism_classification Deviation standard 03 medical and health sciences Acceleration 0302 clinical medicine Feature (computer vision) Artificial intelligence 0305 other medical science business |
| Zdroj: | 2020 International Electronics Symposium (IES). |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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