Wang et al., 2018 - Google Patents
Person reidentification by semisupervised dictionary rectification learning with retraining moduleWang et al., 2018
View PDF- Document ID
- 1165021410071209824
- Author
- Wang H
- Ding Z
- Zhang J
- Liu S
- Ni T
- Chen F
- Publication year
- Publication venue
- Journal of Electronic Imaging
External Links
Snippet
At present, in the field of person reidentification (re-id), the commonly used supervised learning algorithms require a large amount of labeled samples, which is not conducive to the model promotion. On the other hand, the accuracy of unsupervised learning algorithms is …
- 239000011159 matrix material 0 abstract description 43
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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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