Construction site safety helmet identification method and device based on independent training framework

The invention discloses a construction site safety helmet identification method and device based on an independent training framework, and the method comprises the steps: enabling a photographed construction site worker picture to serve as the input of a complementary feature learning framework, and...

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Bibliographische Detailangaben
Hauptverfasser: YATAMACHI SHIGESHI, LIANG WEISEN, LIN ZUNHU, XIE MENG, LIU KE, WANG ZEGUO, HUANG LICHUN, WANG MINSHUAI, YANG WEI, ZHOU CHEN, YANG YANBIN, YIN XINGLONG, CHEN YUBO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a construction site safety helmet identification method and device based on an independent training framework, and the method comprises the steps: enabling a photographed construction site worker picture to serve as the input of a complementary feature learning framework, and carrying out the convolution operation of the inputted picture, and obtaining the abstract representation information conv of the picture; respectively sending the conv into a feature extraction channel Attention CNN model and an Attention LSTM model which are parallel to each other for feature learning; the Attention CNN model outputs color information F1 about the safety helmet, the Attention LSTM model outputs contour information F2 about the safety helmet, outputs of the Attention CNN model and the Attention LSTM model are combined into F, F = [F1, F2], and F is input into a full connection layer; and inputting the output of the full connection layer into a support vector machine to judge the wearing condition