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Adeyanju et al., 2022 - Google Patents

Development of a Convolutional Neural Network-Based Object Recognition System for Uncovered Gutters and Bollards

Adeyanju et al., 2022

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Document ID
10429635375103237974
Author
Adeyanju I
Azeez M
Bello O
Badmus T
Oyediran M
Publication year
Publication venue
ABUAD Journal of Engineering Research and Development (AJERD)

External Links

Snippet

Machine learning and deep learning have advanced considerably over the last few years with machine intelligence transitioning from laboratory to several industrial applications. Among the deep learning techniques, Convolutional Neural Networks (CNN) have been …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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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
    • 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
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G—PHYSICS
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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
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