Fish's Activity Analysis through Frequency Analysis of Angle Information
| Autor: | Cheol-Ki Kim |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Discrete wavelet transform
Frequency analysis business.industry Computer science Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Tracking system Pattern recognition Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition law.invention law Trajectory Fish Tracking data Computer vision Artificial intelligence business |
| Zdroj: | The Journal of the Korea Contents Association. 7:10-15 |
| ISSN: | 1598-4877 |
| DOI: | 10.5392/jkca.2007.7.5.010 |
| Popis: | This paper proposes the method that detects abnormal trajectory of fish with tracking data. And it is obtained by automatic tracking system based on conventional computer vision. Also, we analyze the trajectory using subband frequency features through DWT(Discrete Wavelet Transform). Through experimental results, we confirm that our results have some statistical means. The proposed method demonstrates that DWT is useful method for detecting presence of toxicoid features in environment as for an alternative of bio-monitoring tool. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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