193.111 Scene Understanding and Surveillance
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to use and evaluate multimodal sensors for image sequence acquisition. They know and understand solutions for motion detection, object tracking and event detection in image sequences. They are familiar with basic questions regarding ethics and GDPR in the area of surveillance.

Subject of course

In this course, the analysis of multimodal image sequences (RGB, thermal, 3d) is treated in depth: this includes the topics of sensor technology, motion detection, object tracking, scene reconstruction and performance evaluation. Issues of visual computer-aided event detection in videos will be discussed. Additionally, ethics and GDPR issues for surveillance will be addressed. As an excursus, computer-aided analysis of historical film data will be presented.

Teaching methods

Frontal presentation and written exam, independent solving and scientific discussion of subject-related examples and submissions. The course consists of a lecture part and an exercise part. The contents and concepts described are explained in the context of the lecture unit and practically tested and applied in the practice section.

Mode of examination

Oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 11:0001.03.2023 - 28.06.2023Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Scene Understanding and Surveillance - Single appointments
DayDateTimeLocationDescription
Wed01.03.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed08.03.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed15.03.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed22.03.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed29.03.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed19.04.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed26.04.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed03.05.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed10.05.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed17.05.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed24.05.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed31.05.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed07.06.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed14.06.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed21.06.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung
Wed28.06.202309:00 - 11:00Seminarraum FAV 01 A (Seminarraum 183/2) Vorlesung

Examination modalities

Oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed - 19.06.2024written07.05.2024 00:00 - 18.06.2024 09:00TISSVO Prüfung

Course registration

Begin End Deregistration end
22.01.2023 00:00 15.03.2023 00:00 06.05.2023 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 932 Visual Computing Mandatory elective

Literature

No lecture notes are available.

Preceding courses

Continuative courses

Miscellaneous

Language

if required in English