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Poongothai et al., 2016 - Google Patents

Features analysis of person re-identification techniques

Poongothai et al., 2016

Document ID
8193643531364504126
Author
Poongothai E
Suruliandi A
Publication year
Publication venue
2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)

External Links

Snippet

Person re-identification across different surveillance cameras has become one of the recent and challenging task in the area of intelligent video surveillance system. Although many methods have been introduced for re-identification, certain issues like illumination, pose …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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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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    • 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
    • G—PHYSICS
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