Seminar on Computer vision techniques and robotic applications: For collaborative education & research

For about 3 years since Covid-19, academics had to perform contract-free classes, learning from video contents or on-line activities. It has demonstrated advantageous in some ways, while off-line activities take an important role in teaching and learning. There are growing materials such as on-line contents and experiences, and people can get easy access with each other so that collaborative learning can be possible. It is the motivation of our collaboration in education. NTU and AJOU university are trying to engage in an important initiative. This talk discusses not only collaboration in teaching but also possible research. Nowadays there are growing interests in robots around us, very close in our lives. Robots are integration of technologies, requiring various controllability and sensing ability applied with AI techniques. Some robotic applications in industry are involved with mobile robots, collaborative robots, aerial vehicles, and so on. This talk presents object segmentation and recognition, especially based upon Mask R-CNN and YOLO, and data augmentation methods.