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Wang et al., 2015 - Google Patents

Robust visual tracking by metric learning with weighted histogram representations

Wang et al., 2015

Document ID
15146284228537600904
Author
Wang J
Wang H
Yan Y
Publication year
Publication venue
Neurocomputing

External Links

Snippet

Measuring the similarity between the target template and a target candidate is a critical issue in visual tracking. An appropriate similarity metric can improve the accuracy and robustness of visual tracking. This paper proposes a robust visual tracking algorithm that incorporates …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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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
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • 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
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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