Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat,
S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S, Murray,
D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y. and Zheng,
X. (2016). "Tensorflow: a system for large-scale machine learning." USENIX Symposium
on Operating Systems Design and Implementation, Vol. 16, pp. 265-283.
Dai, J., Li, Y., He, K. and Sun, J. (2016). "R-fcn: Object detection via region-based
fully convolutional networks." Advances in Neural Information Processing Systems,
pp. 379-387.
Deng, J., Dong, W., Socher, R., Li, L. J., Li, K. and Fei-Fei, L. (2009). "Imagenet:
A large-scale hierarchical image database." Proc. of IEEE Conference on Computer Vision
and Pattern Recognition (CVPR), IEEE, pp. 248-255.
Everingham, M., Van Gool, L., Williams, C. K., Winn, J. and Zisserman, A. (2010).
"The pascal visual object classes (voc) challenge." International Journal of Computer
Vision, Vol. 88, No. 2, pp. 303-338.
Fang, Q., Li, H., Luo, X., Ding, L., Luo, H., Rose, T. M. and An, W. (2018). "Detecting
non-hardhat-use by a deep learning method from far-field surveillance videos." Automation
in Construction, Vol. 85, pp. 1-9.
Girshick, R. (2015). "Fast r-cnn." Proc. of the IEEE International Conference on Computer
Vision, IEEE, pp. 1440-1448.
Girshick, R., Donahue, J., Darrell, T. and Malik, J. (2014). "Rich feature hierarchies
for accurate object detection and semantic segmentation." Proc. of the IEEE Conference
on Computer Vision and Pattern Recognition, IEEE, pp. 580-587.
He, K., Zhang, X., Ren, S. and Sun, J. (2016). "Deep residual learning for image recognition."
Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE, pp.
770-778.
Illingworth, J. and Kittler, J. (1988). "A survey of the hough transform." Computer
Vision, Graphics, and Image Processing, Vol. 44, No. 1, pp. 87-116.
Kim, H., Kim, H., Hong, Y. W. and Byun, H. (2017). "Detecting construction equipment
using a region-based fully convolutional network and transfer learning." Journal of
Computing in Civil Engineering, ASCE, Vol. 32, No. 2, pp. 04017082.
Li, Z., Chen, Y., Yu, G. and Deng, Y. (2018). "R-FCN++: Towards accurate region-based
fully convolutional networks for object detection." Proc. of the Thirty-Second AAAI
Conference on Artificial Intelligence, New Orleans.
Lin, T. Y., Dollár, P., Girshick, R. B., He, K., Hariharan, B. and Belongie, S. J.
(2017). "Feature pyramid networks for object detection." CVPR, Vol. 1, No. 2, p. 4.
Lin, T. Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P.
and Zitnick, C. L. (2014). "Microsoft coco: Common objects in context." Proc. of European
Conference on Computer Vision, Springer, Cham, pp. 740-755.
Liu, B., Wei, Y., Zhang, Y. and Yang, Q. (2017). "Deep neural networks for high dimension,
low sample size data." Proc. of the Twenty-Sixth International Joint Conference on
Artificial Intelligence, IJCAI-17, Melbourne, pp. 2287-2293.
Liu, W. and Zeng, K. (2018). "SparseNet: A sparse densenet for image classification."
arXiv preprint arXiv:1804.05340.
Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C. Y. and Berg, A. C.
(2016). "Ssd: Single shot multibox detector." Proc. of European Conference on Computer
Vision, Springer, Cham, pp. 21-37.
Maas, A. L., Hannun, A. Y. and Ng, A. Y. (2013). "Rectifier nonlinearities improve
neural network acoustic models." Proc. of ICML, Vol. 30, No. 1, p. 3.
Memarzadeh, M., Golparvar-Fard, M. and Niebles, J. C. (2013). "Automated 2D detection
of construction equipment and workers from site video streams using histograms of
oriented gradients and colors." Automation in Construction, Vol. 32, pp. 24-37.
Mistry, J., Misraa, A. K., Agarwal, M., Vyas, A., Chudasama, V. M. and Upla, K. P.
(2017). "An automatic detection of helmeted and non-helmeted motorcyclist with license
plate extraction using convolutional neural network." Proc. of 2017 Seventh International
Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE, pp. 1-6.
Nasrabadi, N. M. (2007). "Pattern recognition and machine learning." Journal of electronic
imaging, Vol. 16, No. 4, p. 049901.
Occupational Safety and Health Research Institute (OSHRI) (2016). Cause of Industrial
Accident in 2014, OSHRI Research Report (in Korean).
Redmon, J. and Farhadi, A. (2017). "YOLO9000: better, faster, stronger." arXiv preprint.
Redmon, J., Divvala, S., Girshick, R. and Farhadi, A. (2016). "You only look once:
Unified, real-time object detection." Proc. of IEEE Conference on Computer Vision
and Pattern Recognition, IEEE, pp. 779-788.
Ren, S., He, K., Girshick, R. and Sun, J. (2015). "Faster r-cnn: Towards real-time
object detection with region proposal networks." Advances in Neural Information Processing
Systems, pp. 91-99.
Rubaiyat, A. H., Toma, T. T., Kalantari-Khandani, M., Rahman, S. A., Chen, L., Ye,
Y. and Pan, C. S. (2016). "Automatic detection of helmet uses for construction safety."
Proc. of 2016 IEEE/WIC/ ACM International Conference on Web Intelligence Workshops
(WIW), IEEE, pp. 135-142.
Shao, L., Zhu, F. and Li, X. (2015). "Transfer learning for visual categorization:
A survey." IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.
5, pp. 1019-1034.
Silva, R., Aires, K., Santos, T., Abdala, K., Veras, R. and Soares, A. (2013). "Automatic
detection of motorcyclists without helmet." Proc. of Computing Conference (CLEI),
2013 XXXIX Latin American, IEEE, pp. 1-7.
Uijlings, J. R., Van De Sande, K. E., Gevers, T. and Smeulders, A. W. (2013). "Selective
search for object recognition." International Journal of Computer Vision, Vol. 104,
No. 2, pp. 154-171.
Vishnu, C., Singh, D., Mohan, C. K. and Babu, S. (2017). "Detection of motorcyclists
without helmet in videos using convolutional neural network." Proc. of 2017 International
Joint Conference on Neural Networks (IJCNN), IEEE, pp. 3036-3041.
Weiss, K., Khoshgoftaar, T. M. and Wang, D. (2016). "A survey of transfer learning."
Journal of Big Data, Vol. 3, No. 1, p. 9.
Wen, C. Y., Chiu, S. H., Liaw, J. J. and Lu, C. P. (2003). "The safety helmet detection
for ATM's surveillance system via the modified Hough transform." Proc. of the IEEE
37th Annual 2003 International Carnahan Conference on Security Technology, IEEE, pp.
364-369.
You, H. J., You, Y. T. and Kang, K. S. (2017). "A study of the efficiency improvement
of the safety management personnel system in apartment construction site." Korea Safety
Management & Science Korea Safety Management & Science, Vol. 19, No. 1, pp. 87-94
(in Korean).
Yuen, H., Princen, J., Illingworth, J. and Kittler, J. (1990). "Comparative study
of Hough transform methods for circle finding." Image and Vision Computing, Vol. 8,
No. 1, pp. 71-77.
Zhu, Y. and Newsam, S. (2017). "Densenet for dense flow." Proc. of 2017 IEEE International
Conference on Image Processing (ICIP), IEEE. pp. 790-794.