Лобачев et al., 2023 - Google Patents
Machine learning models and methods for human gait recognitionЛобачев et al., 2023
View PDF- Document ID
- 8650305776369623859
- Author
- Лобачев
- Пуріш
- Publication year
- Publication venue
- Вісник сучасних інформаційних технологій
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Snippet
The paper explores the challenge of human identification through gait recognition within biometric identification systems. It outlines the essential criteria for human biometric features, discusses primary biometric characteristics, and their application in biometric identification …
- 230000005021 gait 0 title abstract description 164
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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