Fish Tracking and Counting using Image Processing
| Autor: | Marevic P. Nava, Ramil G. Lumauag |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Tracking (particle physics) Object detection Fish tracking 020204 information systems 0202 electrical engineering electronic engineering information engineering Fish 020201 artificial intelligence & image processing Computer vision Artificial intelligence Blob analysis Focus (optics) business |
| Zdroj: | 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM). |
| DOI: | 10.1109/hnicem.2018.8666369 |
| Popis: | This paper presents a simple method of tracking and counting fish images using an image processing technique. An experiment to capture images of fish population was conducted and fish images were processed using blob analysis and Euclidean filtering. The focus of this paper is to present the image processing technique and test the detection and counting accuracy. The results of the experiment show that the proposed method obtained a high level of detection and accuracy. Finally, recommendations for future improvements are provided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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