700.470 (14S) Artificial Vision
Überblick
- Lehrende/r
- LV-Titel englisch Artificial Vision
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 21 (50 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 07.05.2014
- Anmerkungen Research Group Pervasive Computing @ NES
- Seniorstudium Liberale Ja
Zeit und Ort
LV-Beschreibung
Inhalt/e
Detailed schedule:May 07, ICT-Lab L4.1.02, whole day
10:00 – 13:00 Introduction
14:00 – 16:00 Logical Architecture
16:00 – 18:00 Change Detection
May 08, lecture room L4.1.01 & ICT-LAB L4.1.02
09:00 – 12:00 Active Vision –> lecture room L4.1.01
13:00 – 14:00 Active Vision -> ICT-LAB L4.1.02
14:00 – 18:00 MATLAB -> ICT-LAB L4.1.02
May 09, ICT-Lab L4.1.02, whole day
09:00 – 11:00 Object Recognition
11:00 – 13:00 Space Projection
14:00 – 16:00 Network Reconfiguration
16:00 – 18:00 MATLAB
May 13, ICT-Lab L4.1.02, whole day10:00 - 13:00 Event Analysis
14:00 - 15:00 Person REID
15:00 – 18:00 Projects
Mode of exam:
1) Matlab Projects : Students will be asked to give a 10 minutes presentation on a chosen computer vision problem. Then a small Matlab project together with a scientific description of the proposed solution has to be delivered before first exam date.
and/or
2) Written exams: 2 standard written exams (duration 2hrs each)
Themen- * Introduction
- * Architecture of an artificial vision systems
- * Low level processing (object segmentation, object detection, etc.): Image differencing, Background Updating, Thresholding, Image registration, Feature based image registration
- * Middle level processing (object recognition, object tracking, etc.): Space projection, Machine learning for object recognition
- * High level processing (behaviour analysis, event detection, etc.): Architecture for behaviour analysis, Simple & complex events, Feature extraction, Trajectory analysis, Clustering, Decision making
- * Network reconfiguration: Modeling of a sensor network, Resources Optimization
- * Matlab Laboratory; Change Detection, Image Mapping, Image Registration