Diplomová práca

Zdroje:

[1] Romi Fadillah Rahmat, Dennis Dennis, Opim Salim Sitompul, Sarah Purnama-wati, and Rahmat Budiarto. Advertisement billboard detection and geotagging system with inductive transfer learning in deep convolutional neural network. TELKOMNIKA (Telecommunication Computing Electronics and Control), 2019.
[2] Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, and François Pitié. Adnet: A deep network for detecting adverts, 2018.
[3] Aleksa Ćorović, Velibor Ilić, Siniša Ðurić, Mališa Marijan, and Bogdan Pavković. The real-time detection of traffic participants using yolo algorithm. In 2018 26th Telecommunications Forum (TELFOR), pages 1–4, 2018.
[4] Kristína Miklošová. Výskum modelov významných oblastí malieb. Diplomová práca, 2020. Univerzita Komenského v Bratislave, Fakulta Matematiky, Fyziky a Informatiky.
[5] David G. T. Barrett, Ari S. Morcos, and Jakob H. Macke. Analyzing biological and artificial neural networks: challenges with opportunities for synergy?, 2018
[6] Simon Haykin. Neural Networks and Learning Machines. Prentice Hall, 2008. Third Edition.
[7] Framework torch. Dostupné na internete: https://www.root.cz/clanky/framework-torch-vyuziti-konvolucnich-siti-pro-rozpoznavani-a-klasifikaci-obrazku/#k0. Navštívené: 2022-4-7.
[8] Basic overview of convolutional neural network. Dostupné na internete: https://medium.com/dataseries/basic-overview-of-convolutional-neural-network-cnn-4fcc7dbb4f17.
[9] What are hyperparameters? https://towardsdatascience.com/what-are-hyperparameters-and-how-to-tune-the-hyperparameters-in-a-deep-neural-network-d0604917584a. Navštívené: 2021-12-8.
[10] Chung Joo Won Do Synho, Song Kyoung Doo. Basics of deep learning: A radiolo-gist’s guide to understanding published radiology articles on deep learning. kjr,21(1):33–41, 2020.
[11] F. Sultana, A. Sufian, and P. Dutta. A Review of Object Detection Models Based on Convolutional Neural Network, pages 1–16. Springer Singapore, Singapore, 2020.
[12] Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 580–587, 2014.
[13] Ross Girshick. Fast r-cnn. In 2015 IEEE International Conference on Computer Vision (ICCV), pages 1440–1448, 2015.
[14] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017.
[15] Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg. Ssd: Single shot multibox detector. Lecture Notes in Computer Science, page 21–37, 2016.
[16] Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once: Unified, real-time object detection. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 779–788, 2016.
[17] Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár. Microsoft coco: Common objects in context.
[18] Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition, pages 248–255. Ieee, 2009.
[19] Lisa dataset. Dostupné na internete: https://git-disl.github.io/GTDLBench/datasets/lisa_traffic_sign_dataset/.
[20] Elena Šikudová, Zuzana Černeková, Wanda Benešová, Zuzana Haladová, and Júlia Kučerová. Počítačové videnie Detekcia a rozpoznávanie objektov. Vydavateľstvo Wikina, 2011.
[21] Understanding eye tracking how it can work for you: Definitions, metrics, and applications. Dostupné na internete: https://eyeware.tech/blog/what-is-eyetracking/.
[22] Amer Al-Rahayfeh and Miad Faezipour. Eye tracking and head movement detection: A state-of-art survey. IEEE Journal of Translational Engineering in Health and Medicine, 1:2100212 –2100212, 2013.
[23] Vidas Raudonis, Rimvydas Simutis, and Gintautas Narvydas. Discrete eye tracking for medical applications. In 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, pages 1–6. IEEE, 2009.
[24] Xiaohui Yang, Jiande Sun, Ju Liu, Jinyu Chu, Wei Liu, and Yuling Gao. A gaze tracking scheme for eye-based intelligent control. In 2010 8th World Congress on Intelligent Control and Automation, pages 50–55. IEEE, 2010.
[25] Yen-Wei Chen and Kenji Kubo. A robust eye detection and tracking technique using gabor filters. In Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01, IIH-MSP ’07, page 109–112, USA, 2007. IEEE Computer Society
[26] Dong Hyun Yoo, Jae Heon Kim, Bang Rae Lee, and Myoung Jin Chung. Noncontact eye gaze tracking system by mapping of corneal reflections. In Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, pages 101–106, 2002
[27] Zhiwei Zhu and Qiang Ji. Novel eye gaze tracking techniques under natural head movement. IEEE Transactions on Biomedical Engineering, 54(12):2246–2260, 2007.
[28] R.C. Coetzer and G.P. Hancke. Eye detection for a real-time vehicle driver fatigue monitoring system. In 2011 IEEE Intelligent Vehicles Symposium (IV), pages 66–71, 2011.
[29] Tobii glasses 3. Dostupné na internete: https://ifdesign.com/en/winnerranking/project/tobii-pro-glasses-3/300945.
[30] L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1254–1259, 1998.
[31] Xiaodi Hou and Liqing Zhang. Saliency detection: A spectral residual approach. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, pages 1–8, 2007.
[32] Ming Jiang, Shengsheng Huang, Juanyong Duan, and Qi Zhao. Salicon: Saliency in context. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
[33] Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, and Ali Borji. Revisiting video saliency: A large-scale benchmark and a new model. CoRR, abs/1801.07424, 2018.
[34] Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulò, and Peter Kontschieder. The mapillary vistas dataset for semantic understanding of street scenes. In 2017 IEEE International Conference on Computer Vision (ICCV), pages 5000–5009, 2017.
[35] Richard Droste, Jianbo Jiao, and J. Alison Noble. Unified Image and Video Saliency Modeling. In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.
[36] Pytorch. Dostupné na internete: https://pytorch.org/.
[37] Roboflow. Dostupné na internete: https://roboflow.com.
[38] Yolov5. Dostupné na internete: https://github.com/ultralytics/yolov5.
[39] Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. Detectron2. Dostupné na internete: https://github.com/facebookresearch/detectron2, 2019.
[40] Github - unisal. Dostupné na internete: https://github.com/rdroste/unisal.
[41] Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, and Thierry Dutoit. Saliency and human fixations: State-of-the-art and study of comparison metrics. In 2013 IEEE International Conference on Computer Vision, pages 1153–1160, 2013.
[42] Reagan Galvez, Argel Bandala, Elmer Dadios, Ryan Vicerra, and Jose Martin Maningo. Object detection using convolutional neural networks. pages 2023–2027, 10 2018.
[43] Akash Tripathi, T.V. Kumar, Tarun Dhansetty, and J. Kumar. Real time object detection using cnn. International Journal of Engineering and Technology(UAE), 7:33–36, 04 2018.
[44] Caglar Koylu, Chang Zhao, and Wei Shao. Deep neural networks and kernel density estimation for detecting human activity patterns from geo-tagged images: A case study of birdwatching on flickr. ISPRS International Journal of GeoInformation, 8:45, 01 2019.
[45] Sebastian Montabone and Álvaro Soto. Human detection using a mobile platform and novel features derived from a visual saliency mechanism. Image Vis. Comput., 28:391–402, 2010.

Detekcia vizuálneho smogu pri cestách

Diplomová práca

Zdroje:

[2] Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, and François Pitié. Adnet: A deep network for detecting adverts, 2018.

[3] Aleksa Ćorović, Velibor Ilić, Siniša Ðurić, Mališa Marijan, and Bogdan Pavković. The real-time detection of traffic participants using yolo algorithm. In 2018 26th Telecommunications Forum (TELFOR), pages 1–4, 2018.

[4] Kristína Miklošová. Výskum modelov významných oblastí malieb. Diplomová práca, 2020. Univerzita Komenského v Bratislave, Fakulta Matematiky, Fyziky a Informatiky.

[5] David G. T. Barrett, Ari S. Morcos, and Jakob H. Macke. Analyzing biological and artificial neural networks: challenges with opportunities for synergy?, 2018

[6] Simon Haykin. Neural Networks and Learning Machines. Prentice Hall, 2008. Third Edition.

[7] Framework torch. Dostupné na internete: https://www.root.cz/clanky/framework-torch-vyuziti-konvolucnich-siti-pro-rozpoznavani-a-klasifikaci-obrazku/#k0. Navštívené: 2022-4-7.

[8] Basic overview of convolutional neural network. Dostupné na internete: https://medium.com/dataseries/basic-overview-of-convolutional-neural-network-cnn-4fcc7dbb4f17.

[9] What are hyperparameters? https://towardsdatascience.com/what-are-hyperparameters-and-how-to-tune-the-hyperparameters-in-a-deep-neural-network-d0604917584a. Navštívené: 2021-12-8.

[10] Chung Joo Won Do Synho, Song Kyoung Doo. Basics of deep learning: A radiolo-gist’s guide to understanding published radiology articles on deep learning. kjr,21(1):33–41, 2020.

[11] F. Sultana, A. Sufian, and P. Dutta. A Review of Object Detection Models Based on Convolutional Neural Network, pages 1–16. Springer Singapore, Singapore, 2020.

[12] Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 580–587, 2014.

[13] Ross Girshick. Fast r-cnn. In 2015 IEEE International Conference on Computer Vision (ICCV), pages 1440–1448, 2015.

[14] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017.

[15] Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg. Ssd: Single shot multibox detector. Lecture Notes in Computer Science, page 21–37, 2016.

[16] Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once: Unified, real-time object detection. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 779–788, 2016.

[17] Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár. Microsoft coco: Common objects in context.

[18] Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition, pages 248–255. Ieee, 2009.

[19] Lisa dataset. Dostupné na internete: https://git-disl.github.io/GTDLBench/datasets/lisa_traffic_sign_dataset/.

[20] Elena Šikudová, Zuzana Černeková, Wanda Benešová, Zuzana Haladová, and Júlia Kučerová. Počítačové videnie Detekcia a rozpoznávanie objektov. Vydavateľstvo Wikina, 2011.

[21] Understanding eye tracking how it can work for you: Definitions, metrics, and applications. Dostupné na internete: https://eyeware.tech/blog/what-is-eyetracking/.

[22] Amer Al-Rahayfeh and Miad Faezipour. Eye tracking and head movement detection: A state-of-art survey. IEEE Journal of Translational Engineering in Health and Medicine, 1:2100212 –2100212, 2013.

[23] Vidas Raudonis, Rimvydas Simutis, and Gintautas Narvydas. Discrete eye tracking for medical applications. In 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, pages 1–6. IEEE, 2009.

[24] Xiaohui Yang, Jiande Sun, Ju Liu, Jinyu Chu, Wei Liu, and Yuling Gao. A gaze tracking scheme for eye-based intelligent control. In 2010 8th World Congress on Intelligent Control and Automation, pages 50–55. IEEE, 2010.

[26] Dong Hyun Yoo, Jae Heon Kim, Bang Rae Lee, and Myoung Jin Chung. Noncontact eye gaze tracking system by mapping of corneal reflections. In Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, pages 101–106, 2002

[27] Zhiwei Zhu and Qiang Ji. Novel eye gaze tracking techniques under natural head movement. IEEE Transactions on Biomedical Engineering, 54(12):2246–2260, 2007.

[28] R.C. Coetzer and G.P. Hancke. Eye detection for a real-time vehicle driver fatigue monitoring system. In 2011 IEEE Intelligent Vehicles Symposium (IV), pages 66–71, 2011.

[29] Tobii glasses 3. Dostupné na internete: https://ifdesign.com/en/winnerranking/project/tobii-pro-glasses-3/300945.

[30] L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1254–1259, 1998.

[31] Xiaodi Hou and Liqing Zhang. Saliency detection: A spectral residual approach. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, pages 1–8, 2007.

[32] Ming Jiang, Shengsheng Huang, Juanyong Duan, and Qi Zhao. Salicon: Saliency in context. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.

[33] Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, and Ali Borji. Revisiting video saliency: A large-scale benchmark and a new model. CoRR, abs/1801.07424, 2018.

[34] Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulò, and Peter Kontschieder. The mapillary vistas dataset for semantic understanding of street scenes. In 2017 IEEE International Conference on Computer Vision (ICCV), pages 5000–5009, 2017.

[35] Richard Droste, Jianbo Jiao, and J. Alison Noble. Unified Image and Video Saliency Modeling. In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.

[36] Pytorch. Dostupné na internete: https://pytorch.org/.

[37] Roboflow. Dostupné na internete: https://roboflow.com.

[38] Yolov5. Dostupné na internete: https://github.com/ultralytics/yolov5.

[39] Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. Detectron2. Dostupné na internete: https://github.com/facebookresearch/detectron2, 2019.

[40] Github - unisal. Dostupné na internete: https://github.com/rdroste/unisal.

[41] Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, and Thierry Dutoit. Saliency and human fixations: State-of-the-art and study of comparison metrics. In 2013 IEEE International Conference on Computer Vision, pages 1153–1160, 2013.

[42] Reagan Galvez, Argel Bandala, Elmer Dadios, Ryan Vicerra, and Jose Martin Maningo. Object detection using convolutional neural networks. pages 2023–2027, 10 2018.

[43] Akash Tripathi, T.V. Kumar, Tarun Dhansetty, and J. Kumar. Real time object detection using cnn. International Journal of Engineering and Technology(UAE), 7:33–36, 04 2018.

[44] Caglar Koylu, Chang Zhao, and Wei Shao. Deep neural networks and kernel density estimation for detecting human activity patterns from geo-tagged images: A case study of birdwatching on flickr. ISPRS International Journal of GeoInformation, 8:45, 01 2019.

[45] Sebastian Montabone and Álvaro Soto. Human detection using a mobile platform and novel features derived from a visual saliency mechanism. Image Vis. Comput., 28:391–402, 2010.