2D Log-Gabor Wavelet Based Action Recognition
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概要
- 論文の詳細を見る
The frequency response of log-Gabor function matches well the frequency response of primate visual neurons. In this letter, motion-salient regions are extracted based on the 2D log-Gabor wavelet transform of the spatio-temporal form of actions. A supervised classification technique is then used to classify the actions. The proposed method is robust to the irregular segmentation of actors. Moreover, the 2D log-Gabor wavelet permits more compact representation of actions than the recent neurobiological models using Gabor wavelet.
- （社）電子情報通信学会の論文
- 2009-11-01
著者
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XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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Li Ning
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Li Ning
Institute Of Communications Engineering Pla University Of Science And Technology
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