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Bachelor's Thesis
Author of thesis: Ing. Jan Jurča
Acad. year: 2018/2019
Supervisor: Ing. Michal Hradiš, Ph.D.
Reviewer: Ing. Jakub Špaňhel, Ph.D.
This thesis deals with pedestrian identification from video sequence based on person, face and gait recognition. For person and face recognition are used pretrained networks. While for gait recognition is implemented and compared many different networks. Final pedestrian recognition is based on multimodal fusion realized by neural network. For the purpose of the work was created dataset, along with a set of tools that allow its almost automatic creation.
Face recognition, person recognition, gait recognition, multimodal fusion, deep neural networks, dataset, convolutional neural networks, recurrent neural networks, siamese network, feature vector extraction, BUT Pedestrians
Date of defence
11.06.2019
Result of the defence
Defended (thesis was successfully defended)
Grading
B
Process of defence
Student nejprve prezentoval výsledky, kterých dosáhl v rámci své práce. Komise se poté seznámila s hodnocením vedoucího a posudkem oponenta práce. Student následně odpověděl na otázky oponenta. Komise se na základě posudku oponenta, hodnocení vedoucího, přednesené prezentace a odpovědí studenta na položené otázky rozhodla práci hodnotit stupněm B.
Otázky u obhajoby:
Language of thesis
Czech
Faculty
Fakulta informačních technologií
Department
Department of Computer Graphics and Multimedia
Study programme
Information Technology (IT-BC-3)
Field of study
Information Technology (BIT)
Composition of Committee
prof. Ing. Adam Herout, Ph.D. (předseda) doc. Mgr. Adam Rogalewicz, Ph.D. (místopředseda) doc. Ing. Michal Bidlo, Ph.D. (člen) prof. Ing. Martin Čadík, Ph.D. (člen) Ing. Zbyněk Křivka, Ph.D. (člen)
Supervisor’s reportIng. Michal Hradiš, Ph.D.
Grade proposed by supervisor: A
Reviewer’s reportIng. Jakub Špaňhel, Ph.D.
Grade proposed by reviewer: B
Responsibility: Mgr. et Mgr. Hana Odstrčilová