Gurantor department | Department of Computer Science | Credits | 4 |

Subject guarantor | Ing. Radovan Fusek, Ph.D. | Subject version guarantor | Ing. Radovan Fusek, Ph.D. |

Study level | undergraduate or graduate | Requirement | Optional |

Year | 2 | Semester | winter |

Study language | Czech | ||

Year of introduction | 2015/2016 | Year of cancellation | |

Intended for the faculties | FMT, FEI | Intended for study types | Follow-up Master |

Instruction secured by | |||
---|---|---|---|

Login | Name | Tuitor | Teacher giving lectures |

FUS032 | Ing. Radovan Fusek, Ph.D. |

Extent of instruction for forms of study | ||
---|---|---|

Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 2+2 |

Part-time | Credit and Examination | 18+0 |

The goal of the course is to get the student acquainted with modern methods of image analysis that can be used in the area of object detection and recognition. An integral part is also application of this methods in the real world (e.g. detection and recognition of faces, localization of pedestrians, detection of cars).

Lectures

Tutorials

The following topics are covered: Modern methods of object detection and object recognition. Typically, the approaches are based on the image descriptors that are combined with the machine learning methods. The principles and aplications of deep learning and convolutional neural networks are also covered (detection of vehicles, pedestrians, faces).

1. Chollet, F.: Deep Learning with Python. Manning, ISBN-13: 978-1617294433, 2017
2. Gonzalez, R. C., Woods, R. E.: Digital image processing, New York, NY: Pearson, ISBN-13: 978-0133356724, 2018
3. Zhang, A., Lipton, Z.C., Li, M., Smola, A.J.: Dive into Deep Learning, https://d2l.ai, 2020

1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013
3. Gary Bradski, Adrian Kaehler: Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library, O'Reilly Media, 2017

Conditions for granting the credit:
The tasks that form the program of exercises must be worked out.
Exam - written test.

No further requirements are imposed on student.

Subject code | Abbreviation | Title | Requirement |
---|---|---|---|

460-4080 | ANO I | Image Analysis I | Recommended |

Subject has no co-requisities.

Lectures:
* Basic concepts of object detection in images, sliding window method.
* Methods of face detection in images. Haar type features. Local binary patterns, histograms of oriented gradients and their application to object analysis. Methods of pedestrian detection in images.
* Convolutional neural networks (basic principles, description of layers). Modern variants of convolutional neural networks (e.g. VGGNet, GoogLeNet, ResNet).
* Description of convolutional networks for object localization (e.g. R-CNN, Faster R-CNN, YOLO, SSD).
* Description of generative networks (DCGAN), encoder-decoder networks, transformer networks.
* Image descriptors (SIFT method).
* Optical systems in the area of self-driving vehicles, IR image processing, LIDAR image processing, depth image analysis, use of depth sensors (RealSense, Kinect).
Computer Labs:
* Development of the detector for the selected object of interest, implementation of the sliding window method, preparation of data for the training and testing phases of the detector.
* Detection based on Haar-type features, detection using local binary patterns, analysis of objects using gradients (HOG method), image descriptors (SIFT method).
* Experiments with convolutional neural networks, exploring the parameters of convolutional networks.
* Application of different types of convolutional networks (e.g. VGGNet, GoogLeNet, ResNet), comparison of detectors.
* Practical usage of localization methods based on convolutional networks (e.g. R-CNN, Faster R-CNN, YOLO).
* Practical usage of generative networks (DCGAN), encoder-decoder networks, transformer networks.
* Analysis of objects in IR and depth images (RealSense, Kinect).

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points | Max. počet pokusů |
---|---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 | |

Credit | Credit | 45 | 20 | |

Examination | Examination | 55 | 6 | 3 |

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Conditions for subject completion and attendance at the exercises within ISP:

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Academic year | Programme | Branch/spec. | Spec. | Zaměření | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
---|---|---|---|---|---|---|---|---|---|---|---|---|

2024/2025 | (N0613A140034) Computer Science | DZO | P | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2024/2025 | (N0613A140034) Computer Science | DZO | K | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2024/2025 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2024/2025 | (N0716A060001) Automotive Electronic Systems | SPA | P | Czech | Ostrava | 2 | Compulsory | study plan | ||||

2024/2025 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2024/2025 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2024/2025 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2024/2025 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2023/2024 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2023/2024 | (N0613A140034) Computer Science | DZO | K | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2023/2024 | (N0613A140034) Computer Science | DZO | P | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2023/2024 | (N0716A060001) Automotive Electronic Systems | SPA | P | Czech | Ostrava | 2 | Compulsory | study plan | ||||

2023/2024 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2023/2024 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2023/2024 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2023/2024 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2023/2024 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2023/2024 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2022/2023 | (N0613A140034) Computer Science | DZO | K | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2022/2023 | (N0613A140034) Computer Science | DZO | P | Czech | Ostrava | 2 | Choice-compulsory type A | study plan | ||||

2022/2023 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2022/2023 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2022/2023 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2022/2023 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2022/2023 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2022/2023 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2022/2023 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2021/2022 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2021/2022 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2021/2022 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2021/2022 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2021/2022 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2021/2022 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2021/2022 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2020/2021 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2020/2021 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2020/2021 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2020/2021 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2020/2021 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2020/2021 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2020/2021 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2019/2020 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2019/2020 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | P | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (N0541A170007) Computational and Applied Mathematics | (S01) Applied Mathematics | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (N0541A170007) Computational and Applied Mathematics | (S02) Computational Methods and HPC | K | Czech | Ostrava | 2 | Optional | study plan | ||||

2019/2020 | (N0688A140014) Industry 4.0 | P | Czech | Ostrava | 2 | Choice-compulsory type B | study plan | |||||

2018/2019 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2018/2019 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2017/2018 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2017/2018 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2016/2017 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2016/2017 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2015/2016 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | P | Czech | Ostrava | 2 | Choice-compulsory | study plan | ||||

2015/2016 | (N2647) Information and Communication Technology | (2612T025) Computer Science and Technology | K | Czech | Ostrava | 2 | Choice-compulsory | study plan |

Block name | Academic year | Form of study | Study language | Year | W | S | Type of block | Block owner |
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2023/2024 Winter |

2022/2023 Winter |

2021/2022 Winter |

2020/2021 Winter |

2019/2020 Winter |

2017/2018 Winter |

2016/2017 Winter |

2015/2016 Winter |