Thesis Details
Detekce a rozpoznání chodců ve vícekamerovém systému
The main purpose of this bachelor's thesis is to create an application for person detection and recognition from scenes captured in a multi-camera system. The output of the application is a video on which the detected persons are highlighted and each person is assigned an identification number through which it can be recognized across the input scenes. Several solutions to the problem of person detection and recognition were examined and the text of this work serves as an overview of these problems. The application is built on PyTorch and Torchreid libraries. A detector with a Faster-RCNN network is used for detection and recognition is based on the OSNet network. The application also includes a simple user interface to facilitate work with the application. The application serves as a demonstration of the state-of-the-art for person detection and recognition.
person detection, person recognition, camera system, artificial intelligence, convolutional neural networks, Python, PyTorch, torchreid, Faster-RCNN, OSNet
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT24151, author = "Filip Mac\'{a}k", type = "Bachelor's thesis", title = "Detekce a rozpozn\'{a}n\'{i} chodc\r{u} ve v\'{i}cekamerov\'{e}m syst\'{e}mu", school = "Brno University of Technology, Faculty of Information Technology", year = 2021, location = "Brno, CZ", language = "slovak", url = "https://www.fit.vut.cz/study/thesis/24151/" }