| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0343251 |
| utime |
20240111140739.9 |
| mtime |
20100617235959.9 |
| title
(primary) (eng) |
Range Video Segmentation |
| specification |
| page_count |
4 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0343250 |
| ISBN |
978-1-4244-7166-9 |
| title
|
10th International Conference on Information Sciences, Signal Processing and their Applications |
| page_num |
369-372 |
| publisher |
| place |
Los Alamitos |
| name |
IEEE |
| year |
2010 |
|
|
| keyword |
Range segmentation |
| keyword |
Markov random fields |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101239 |
| name1 |
Žid |
| name2 |
Pavel |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0242154 |
| name1 |
Holub |
| name2 |
Radek |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
2C06019 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0216518 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
An unsupervised range video segmentation method based on a spatial probabilistic model for intended vehicle-based safety and warning system applications is introduced. Statistical range data discontinuities are represented by a wide-sense Markov model which guides the subsequent line-based region growing process. Single frame segmentations are mutually corrected using the continuity constraint. The resulting segmentation allows tracking moving objects and estimating their distance and velocity. The method is illustrated on synthetic range video data. |
| action |
| ARLID |
cav_un_auth*0262028 |
| name |
10th International Conference on Information Sciences, Signal Processing and their Applications |
| place |
Kuala Lumpur |
| dates |
10.05.2010-13.05.2010 |
| country |
MY |
|
| reportyear |
2011 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0185769 |
| arlyear |
2010 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0343250 10th International Conference on Information Sciences, Signal Processing and their Applications 978-1-4244-7166-9 369 372 Los Alamitos IEEE 2010 |
|