| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0410379 |
| utime |
20240103182210.0 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Road sign classification without color information |
| publisher |
| place |
Delft |
| name |
Technische Universiteit |
| pub_time |
2000 |
|
| specification |
|
| serial |
| title
|
Proceedings of the 6th Annual Conference of the Advanced School for Computing and Imaging (ASCI) |
| page_num |
84-90 |
|
| author
(primary) |
| ARLID |
cav_un_auth*0212668 |
| name1 |
Paclík |
| name2 |
P. |
| country |
NL |
|
| author
|
| ARLID |
cav_un_auth*0101171 |
| name1 |
Novovičová |
| name2 |
Jana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
09K |
| cas_special |
| research |
AV0Z1075907 |
| abstract
(eng) |
The colorless method for the road sign classification is presented working on gray-level images and allowing the same problem decomposition as its color-based counterpart. The method may be used in combination with the color-independent sign detection algorithms. The road sign recognition system then works entirely without color which may be used as an alternative procedure when the input traffic scene images lacks good color information. |
| action |
| ARLID |
cav_un_auth*0212669 |
| name |
Annual Conference of the Advanced School for Computing and Imaging /6./ |
| place |
Lommel |
| country |
BE |
| dates |
14.06.2000-16.06.2000 |
|
| RIV |
BB |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0130468 |
| ID_orig |
UTIA-B 20000095 |
| arlyear |
2000 |
| mrcbU10 |
2000 |
| mrcbU10 |
Delft Technische Universiteit |
| mrcbU63 |
Proceedings of the 6th Annual Conference of the Advanced School for Computing and Imaging (ASCI) 84 90 |
|