| Beran, V., Herout, A., Řezníček, I.: Video-Based Bicycle Detection in Underground Scenarios, In: Proceedings of WSCG'09, Plzeň, CZ, ZČU v Plzni, 2009, p. 4, ISBN 978-80-86943-94-7 | | Publication language: | english |
|---|
| Original title: | Video-Based Bicycle Detection in Underground Scenarios |
|---|
| Title (cs): | Detekce kol ve videu v prostředí metra |
|---|
| Pages: | 4 |
|---|
| Proceedings: | Proceedings of WSCG'09 |
|---|
| Conference: | Winter School of Computer Graphics 2009 |
|---|
| Series: | 17-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision |
|---|
| Place: | Plzeň, CZ |
|---|
| Year: | 2009 |
|---|
| ISBN: | 978-80-86943-94-7 |
|---|
| Publisher: | University of West Bohemia in Pilsen |
|---|
| Files: | |
|---|
|
| | Keywords |
|---|
| video surveillance, object detection,
bicycle detection |
| Annotation |
|---|
| Automatic surveillance systems are an
important emerging application of object detection algorithms in video. The
nature of such systems implies several requirements on the used algorithms.
Also, searching for less usual objects (in contrast to frontal human faces, car
masks, etc.) is required, such as detection of bicycles. It appears that
detection of such objects cannot be solved by just applying a standard
statistical or other general detector, but by constructing a specialized
detector composed of several standard image processing and object-detection
techniques combined together ad hoc. A detector of bicycles in video data from
standard low-resolution CCTV surveillance system is presented in this
contribution.
Bicycle detection approach covered by this
paper aims to cope with highly-noisy low-resolution data, to use simple
image-processing methods and to work in real time. Although the method itself
does not constitute a generally usable object detector, it covers several
interesting aspects which can be re-used in tasks similar to the given one.
Low-level features extracted from the video used for wheel-candidate
classification are described in detail. The system is applied and evaluated on
real data and the results are discussed. |
| BibTeX: |
|---|
@INPROCEEDINGS{
author = {Vítězslav Beran and Adam Herout and Ivo Řezníček},
title = {Video-Based Bicycle Detection in Underground Scenarios},
pages = {4},
booktitle = {Proceedings of WSCG'09},
series = {17-th International Conference in Central Europe on Computer
Graphics, Visualization and Computer Vision},
year = {2009},
location = {Plzeň, CZ},
publisher = {University of West Bohemia in Pilsen},
ISBN = {978-80-86943-94-7},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8879}
} |
|