Efficient embedded context-based surveillance image and video analysis

Solmaz Javanbakhti

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

44 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Department of Electrical Engineering
Supervisors/Advisors
  • de With, Peter H.N., Promotor
  • Zinger, Svitlana, Copromotor
Award date25 Jun 2019
Place of PublicationEindhoven
Publisher
Print ISBNs978-94-028-1573-3
Publication statusPublished - 25 Jun 2019

Bibliographical note

Proefschrift

Cite this

Javanbakhti, S. (2019). Efficient embedded context-based surveillance image and video analysis. Eindhoven: Technische Universiteit Eindhoven.
Javanbakhti, Solmaz. / Efficient embedded context-based surveillance image and video analysis. Eindhoven : Technische Universiteit Eindhoven, 2019. 167 p.
@phdthesis{7d9781711b07496eadd3ec183469870c,
title = "Efficient embedded context-based surveillance image and video analysis",
author = "Solmaz Javanbakhti",
note = "Proefschrift",
year = "2019",
month = "6",
day = "25",
language = "English",
isbn = "978-94-028-1573-3",
publisher = "Technische Universiteit Eindhoven",
school = "Department of Electrical Engineering",

}

Javanbakhti, S 2019, 'Efficient embedded context-based surveillance image and video analysis', Doctor of Philosophy, Department of Electrical Engineering, Eindhoven.

Efficient embedded context-based surveillance image and video analysis. / Javanbakhti, Solmaz.

Eindhoven : Technische Universiteit Eindhoven, 2019. 167 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

TY - THES

T1 - Efficient embedded context-based surveillance image and video analysis

AU - Javanbakhti, Solmaz

N1 - Proefschrift

PY - 2019/6/25

Y1 - 2019/6/25

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-94-028-1573-3

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Javanbakhti S. Efficient embedded context-based surveillance image and video analysis. Eindhoven: Technische Universiteit Eindhoven, 2019. 167 p.