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題名：人工智慧視覺化技術於工地危害辨識之應用
書刊名：勞動及職業安全衛生研究季刊
作者：林楨中／余文德／廖珗洲／蕭文達／張憲寬
作者(外文)：Lin, Chen-chung／Yu, Wen-der／Liao, Hsien-chou／Hsiao, Wen-ta／Chang, Hsien-kuan
出版日期：2021
卷期：29:1
頁次：頁67-80
主題關鍵詞：營建施工安全；人工智慧；工地管理；深度學習；影像辨識；Construction safety；AI；Site management；Deep learning；Image recognition
原始連結：連回原系統網址new window
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  • 點閱點閱:4
期刊論文
1.Park, M.-W.、Brilakis, I.(2012)。Construction worker detection in video frames for initializing vision trackers。Automation in Construction，28，15-25。  new window
2.Ren, S.、He, K.、Girshick, R.、Sun, J.(2015)。Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks。Advances in Neural Information Processing Systems，28(1)，91-99。  new window
3.Michie, D.(1993)。Turing's test and conscious thought。Artificial Intelligence，60(1)，1-22。  new window
4.Brilakisa, I.、Park, M. W.、Jog, G.(2011)。Automated vision tracking of project related entities。Advanced Engineering Informatics，25(4)，713-724。  new window
5.Fang, Q.、Li, H.、Luo, X.、Ding, L.、An, W.、Luo, H.、Rose, T. M.(2018)。Detecting non-hardhat-use by a deep learning method from far-field surveillance videos。Automation in Construction，85，1-9。  new window
6.Yang, J.、Shi, Z. K.、Wu, Z. Y.(2016)。Vision-based action recognition of construction workers using dense trajectories。Advanced Engineering Informatics，30，327-336。  new window
7.Ding, L.、Fang, W.、Luo, H.、Love, P. E. D.、Ouyang, X.(2018)。A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory。Automation in Construction，86，118-124。  new window
8.Fang, W. L.、Ding, L. Y.、Luo, H. B.、Love, P. E. D.(2018)。Falls from heights: A computer vision-based approach for safety harness detection。Automation in Construction，91，53-61。  new window
9.Mneymneh, B. E.、Abbas, M.、Khoury, H.(2017)。Automated Hardhat Detection for Construction Safety Applications。Procedia Engineering，196，895-902。  new window
10.Mneymneh, B. E.、Abbas, M.、Khoury, H.(2018)。Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety applications。Frontiers in Engineering Management，5(2)，227-239。  new window
11.Gopalakrishnan, K.、Khaitan, S. K.、Choudhary, A.、Agrawal, A.(2017)。Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection。Construction and Building Materials，157，322-330。  new window
12.Wang, L.、Kubichek, R.、Zhou, X.(2018)。Adaptive learning based data-driven models for predicting hourly building energy use。Energy and Buildings，159，454-461。  new window
13.王奕超。一次看懂高清類比監控系統--CVI、TVI、AHD主力格式。iBT 數位建築雜誌。  延伸查詢new window
會議論文
1.Girshick, R.(2015)。Fast R-CNN。The IEEE International Conference on Computer Vision，1440-1448。  new window
2.Rubaiyat, A. H. M.、Toma, T. T.、Kalantari-Khandani, M.、Rahman, S. A.、Chen, L. W.、Ye, Y. F.、Pan, C. S.(2016)。Automatic Detection of Helmet Uses for Construction Safety。The 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops，(會議日期: Oct. 13-16)。  new window
3.Li, J.、Liu, H. M.、Wang, T. Z.、Jiang, M.、Wang, S.、Li, K.、Zhao, X. K.(2017)。Safety Helmet Wearing Detection Based on Image Processing and Machine Learning。The Ninth International Conference on Advanced Computational Intelligence，(會議日期: Feb. 4-6)。  new window
4.Redmon, Joseph、Farhadi, Ali(2018)。YOLOv3: An Incremental Improvement。The IEEE Conference on Computer Vision and Pattern Recognition。  new window
5.Huang, G.、Liu, Z.、Maaten, L.、Weinberger, K.(2018)。Densely Connected Convolutional Networks。The IEEE Conference on Computer Vision and Pattern Recognition。  new window
6.Krizhevsky, Alex、Sutskever, I.、Hinton, G. E.(2012)。ImageNet Classification with Deep Convolutional Neural Networks。The 25th International Conference on Neural Information Processing Systems。Curran Associates Inc.。1097-1105。  new window
7.Chen, Liang-Chieh、Zhu, Yukun、Papandreou, George、Schroff, Florian、Adam, Hartwig(2018)。Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation。European Conference on Computer Vision，801-818。  new window
8.He, Kaiming、Zhang, Xiangyu、Ren, Shaoqing、Sun, Jian(2016)。Deep residual learning for image recognition。2016 IEEE Conference on Computer Vision and Pattern Recognition。IEEE。770-778。  new window
9.Redmon, Joseph、Divvala, Santosh、Girshick, Ross、Farhadi, Ali(2016)。You only look once: Unified, real-time object detection。The 29th IEEE Conference on Computer Vision and Pattern Recognition，(會議日期: 27-30 June 2016)，779-788。  new window
學位論文
1.楊長霖(2017)。深度學習於台灣房價指數趨勢預測模式建立之研究--應用NNLSTM演算法(碩士論文)。國立臺灣科技大學。  延伸查詢new window
2.施佳君(2017)。實價登錄資訊去識別化對房價預測影響與深度學習房價預測模型之研究(碩士論文)。輔仁大學。  延伸查詢new window
3.謝明穎(2017)。運用機器學習方法建構房價預測視覺化平台(碩士論文)。輔仁大學。  延伸查詢new window
圖書
1.行政院勞動部職業安全衛生署(2020)。108年勞動檢查年報。  延伸查詢new window
2.Russell, Stuart J.、Norvig, Peter(2010)。Artificial Intelligence: A Modern Approach。Prentice-Hall, Inc.。  new window
單篇論文
1.Li, K.，Zhao, X. G.，Bian, J.，Tan, M.。Automatic Safety Helmet Wearing Detection(1802.00264)。，https://arxiv.org/pdf/1802.00264.pdf。  new window
其他
1.(2019)。全台家戶人口數連跌27年，https://udn.com/news/story/7241/3218838。  延伸查詢new window
圖書論文
1.He, K. M.、Gkioxari, G.、Dollár, P.、Girshick, R.(2018)。Mask R-CNN。Computer Vision and Pattern Recognition。  new window
 
 
 
 
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