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Fish's Activity Analysis through Frequency Analysis of Angle Information

움직임 각도의 주파수 분석을 통한 활동성 분석

  • 김철기 (부산대학교 디자인학과)
  • Published : 2007.05.28

Abstract

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.

Keywords

Wavelet;Feature Extraction;Motion Analysis