Lu et al., 2020 - Google Patents
Deep-sea organisms tracking using dehazing and deep learningLu et al., 2020
- Document ID
- 5382698234282524336
- Author
- Lu H
- Uemura T
- Wang D
- Zhu J
- Huang Z
- Kim H
- Publication year
- Publication venue
- Mobile Networks and Applications
External Links
Snippet
Deep-sea organism automatic tracking has rarely been studied because of a lack of training data. However, it is extremely important for underwater robots to recognize and to predict the behavior of organisms. In this paper, we first develop a method for underwater real-time …
- 241000238557 Decapoda 0 abstract description 5
Classifications
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06—COMPUTING; CALCULATING; COUNTING
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