| Keywords
|
Deep Learning, pedestrian detection, facial analysis +
|
| Level
|
Master +
|
| OneLineSummary
|
Detection and intention prediction of pedestrians in zebra crossings +
|
| Prerequisites
|
Good knowledge of applied mathematics, signal and image processing. Programming skills (preferably Matlab). +
|
| References
|
Computer Vision Datasets: http://clickdama … Computer Vision Datasets: http://clickdamage.com/sourcecode/cv_datasets.php
Computer Vision Resources: http://cvisioncentral.com/vision-resources/
Caffee Model Zoo: https://github.com/BVLC/caffe/wiki/Model-Zoo
R. Klette, “Concise Computer Vision”, Springer, 2014 “Concise Computer Vision”, Springer, 2014
|
| StudentProjectStatus
|
Finished +
|
| Supervisors
|
Fernando Alonso-Fernandez +
, Cristofer Englund +
, Boris Duran +
|
| ThesisAuthor
|
Dimitrios Varytimidis +
|
| TimeFrame
|
October 2017 to June 2018 +
|
| Title
|
Detection and intention prediction of pedestrians in zebra crossings +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
7 October 2018 21:33:14 +
|
